Astra DB, now part of IBM watsonx.data vs. Progress MarkLogic

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Astra DB, now part of IBM watsonx.data
Score 8.8 out of 10
N/A
Astra DB is a vector database for developers. In 2025 Datastax, the developer and supporter of Astra DB, was acquired. Astra DB is now available as a component of the IBM watsonx.data Multicloud offering.N/A
Progress MarkLogic
Score 9.0 out of 10
N/A
MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.
$0.01
per MCU/per hour + 0.10 per GB/per month
Pricing
Astra DB, now part of IBM watsonx.dataProgress MarkLogic
Editions & Modules
No answers on this topic
Low Priority Fixed
$0.01
per MCU/per hour + 0.10 per GB/per month
Standard Reserved
$0.07
per MCU/per hour + 0.10 per GB/per month
Standard On-Demand
$0.13
per MCU/per hour + 0.10 per GB/per month
Offerings
Pricing Offerings
Astra DB, now part of IBM watsonx.dataProgress MarkLogic
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Astra DB, now part of IBM watsonx.dataProgress MarkLogic
Considered Both Products
Astra DB, now part of IBM watsonx.data
Chose Astra DB, now part of IBM watsonx.data
The biggest competitor was Cassandra which we have been using as the self-hosted solution, so we had the option of going to hosted versions as well. The main advantage of Astra was the ability to combine managed experience with scalability, which was Datastax' strong suit. The …
Chose Astra DB, now part of IBM watsonx.data
I struggled with understanding the other product and the DataStax team helped us progress in our projects with one on one assistance.
Chose Astra DB, now part of IBM watsonx.data
We also (briefly) considered building in-house. We wanted to avoid complex "Frankenstein" architectures. Combining Pinecone with another NoSQL datastore like DynamoDB would have increased complexity. A single-managed platform (Astra DB) enabled architectural simplicity and …
Chose Astra DB, now part of IBM watsonx.data
We selected Astra for reducing complexity of our operations, local support, scalability, reliability, and business continuity/contingency planning reasons. We're a small team so prefer a database-as-a-solution model.
Chose Astra DB, now part of IBM watsonx.data
Astra DB allowed us running a database without going deep into the configuration hell. It scales with our usage and therefore, there was no need to learn the sepcialities of a vector database.
Chose Astra DB, now part of IBM watsonx.data
For the workloads we use Astra DB for it was a better choice than the other databases.
It worked out to be more scalable and cost affective than the traditional relational databases.
Also performant and without the downsides of size limits compared to other services.
Chose Astra DB, now part of IBM watsonx.data
I never tried Pinecone with a production workload, but I can say that the enterprise support and care of DataStax is game changer. They really put effort in creating with you a valid and effective solution for your business.
Chose Astra DB, now part of IBM watsonx.data
Astra provides all the features that the above products do while also giving us access to cutting-edge features faster.
Chose Astra DB, now part of IBM watsonx.data
Astra DB is at par with each one of them as it's scalability and availability is unmatched. The best thing about Astra DB is it's managed service takes care of database operations, freeing up development teams to work on application features. With its scalable architecture and …
Chose Astra DB, now part of IBM watsonx.data
Astra DB is a managed database service based on Apache Cassandra that is mostly used for NoSQL data storage and administration, whereas Azure is a full cloud computing platform provided by Microsoft that includes infrastructure, platform, and software services. Astra DB is …
Chose Astra DB, now part of IBM watsonx.data
Astra DB, which is built on Apache Cassandra, is well-known for its smooth horizontal scalability, making it an ideal solution for applications with quickly rising data and traffic. Although MongoDB Atlas provides high availability, Astra DB's multi-region capability can …
Chose Astra DB, now part of IBM watsonx.data
Since I was familiar with CQL, choosing Astra DB was the only smart choice for me. It is equally capable as all the other cloud-based fully managed database services currently out in the market. It provides very good documentation also for people who are new to it, making it …
Chose Astra DB, now part of IBM watsonx.data
Astra DB supports Cassandra which is very important and of key notice. We work on Cassandra , thus we need Astra DB. Astra DB has high availability and scalability. The customer service provided by Astra DB is really helpful and the response is always available. Astra DB has …
Chose Astra DB, now part of IBM watsonx.data
Astra DB is more optimized as compared to its rivals in many cases such as the replication provides with maximum uptime.
Chose Astra DB, now part of IBM watsonx.data
Astra DB supports apache cassandra which in itself is a plus point. It's primary database model has a wide column store. Deployment of Astra Db takes minutes in AWS, Google Cloud, Azure. Also it is schema free. It also has advanced replication for edge computing. In other …
Chose Astra DB, now part of IBM watsonx.data
The tools astra db provides are much more effective and efficient, especially the integration allowed within astra db. One can customize the choice of tools as per their requirements.
Chose Astra DB, now part of IBM watsonx.data
Astra DB allows connection and integration with multiple tools and apache products, which gives it an edge against other products in the market.
Chose Astra DB, now part of IBM watsonx.data
The integration compatibility Astra DB provides in unmatchable.
Chose Astra DB, now part of IBM watsonx.data
Astra DB has a better database system than Mongo DB and that why me and my team prefers using Astra DB over all the database tools available. The Apache Cassandra database is what attracts the user to Astra DB rather than other databases. Wide Column storing database is what we …
Chose Astra DB, now part of IBM watsonx.data
Astra Db combines the power of tools and sdk's over the use of cassandra which makes it better than most options out there.
Chose Astra DB, now part of IBM watsonx.data
Astra in the general case ends up coming in cheaper than it costs to run your own VMs on a VPS to self-host either cassandra or scylla. How they do that, I don't know, but I'm glad they do!
Chose Astra DB, now part of IBM watsonx.data
Some advantages of Cassandra by itself over the other solutions is being masterless and column oriented. About Astra DB, for us the decision-making factor was having a serverless solution and with the latest Cassandra version and features, additionally it provides a rich set …
Progress MarkLogic
Chose Progress MarkLogic
In comparison to both Mongo and HBase, MarkLogic wins in terms of integration to other systems, while loosing in terms of pricing.
In terms of documentation all will be in same range putting MarkLogic a bit forward.
Chose Progress MarkLogic
MarkLogic is good at what it does: storing and searching XML with a REST interface. The amount of support out there for the other NoSQL products is what gives them the best advantage. Many plugins exist for those, none exist for MarkLogic. Even the proprietary ones like …
Chose Progress MarkLogic
There's no other single product that directly compares to all the features that are packed into MarkLogic. Generally speaking, you're looking at a combination of many products to build a stack that competes feature-for-feature. Even if you're leveraging only a limited set of …
Chose Progress MarkLogic
I have used most of the common RDBMS databases (SQL Server, Oracle, MySQL, etc.). MarkLogic is more dependable, faster, and flexible. I would not willingly go back to RDBMS. As far as open source competition to MarkLogic such as MongoDB, I haven't used it myself so I don't have …
Chose Progress MarkLogic
We had Fast in place when Microsoft had bought it up and was going to change / deprecate it. One of the biggest advantages of MarkLogic for search actually had to do with the rest of the content pipeline - it allowed us to have it all in one technology. On the NoSQL side, we …
Features
Astra DB, now part of IBM watsonx.dataProgress MarkLogic
Vector Database
Comparison of Vector Database features of Product A and Product B
Astra DB, now part of IBM watsonx.data
8.0
Ratings
1% above category average
Progress MarkLogic
-
Ratings
Vector Data Connection8.20 Ratings00 Ratings
Vector Data Editing8.50 Ratings00 Ratings
Attribute Management7.80 Ratings00 Ratings
Geospatial Analysis8.20 Ratings00 Ratings
Geometric Transformations8.00 Ratings00 Ratings
Vector Data Visualization8.00 Ratings00 Ratings
Coordinate Reference System Management:7.90 Ratings00 Ratings
Data Import/Export7.90 Ratings00 Ratings
Symbolization and Styling8.30 Ratings00 Ratings
Data Sharing and Collaboration7.60 Ratings00 Ratings
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Astra DB, now part of IBM watsonx.data
-
Ratings
Progress MarkLogic
7.9
Ratings
8% below category average
Performance00 Ratings8.50 Ratings
Availability00 Ratings8.00 Ratings
Concurrency00 Ratings7.50 Ratings
Security00 Ratings9.00 Ratings
Scalability00 Ratings8.50 Ratings
Data model flexibility00 Ratings7.00 Ratings
Deployment model flexibility00 Ratings6.50 Ratings
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Astra DB, now part of IBM watsonx.dataProgress MarkLogic
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User Ratings
Astra DB, now part of IBM watsonx.dataProgress MarkLogic
Likelihood to Recommend
8.7
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(0 ratings)
Usability
7.8
(0 ratings)
9.0
(0 ratings)
Support Rating
8.9
(0 ratings)
9.0
(0 ratings)
Product Scalability
8.6
(0 ratings)
-
(0 ratings)
User Testimonials
Astra DB, now part of IBM watsonx.dataProgress MarkLogic
Likelihood to Recommend
We use Astra DB to improve our management systems. Storing data has become hassle-free and quite simple. When launching a Cassandra-based cloud application, Astra DB is exactly what you need. In addition to the standard training programs and videos, the extended support and training require significant additional effort to activate and cover which I feel is a bit more tedious task.
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In an area where it will be built once and maintained, it shines. If you aim to use CI, temporary environments, or anything else, it is not very effective. Licensing is almost impossible on boxes that are to be created on the fly.
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Pros
  • We need to be able to process a lot of data (our biggest clients process hundreds of milions of transactions every month). However, it is not only the amount of data, it is also an unpredictable patterns with spikes occuring at different points of time - something athat Astra is great at.
  • Our processing needs to be extremaly fast. Some of our clients use our enrichment in a synchronous way, meaning that any delay in processing is holding up the whole transaction lifecycle and can have a major impact on the client. Astra is very fast.
  • A close collaboration with GCP makes our life very easy. All of our technology sits in Google Cloud, so having Astra in there makes it a no-brainer solution for us.
Read full review
  • Indexing is a major strength of MarkLogic. The out-of-the-box configuration is set up to handle a combination of text and fielded data. The indexing is also highly configurable. Those configuration options are at the heart of a lot of our high-volume, high-performance applications.
  • The industrial strength transactions and security are also a strength, particularly when we are dealing with user-created intellectual property.
  • The engineering support is a strength. They are big enough to have a really strong support and engineering staff, but small enough so that a medium-sized customer has access to it. They are very responsive to questions and problem reports.
  • The ability to move easily among XML and JSON is a strength.
Read full review
Cons
  • Astra DB might be difficult to understand for people who are unfamiliar with Apache Cassandra. Improving the initial experience for newcomers, as well as offering better documentation and lessons, might be advantageous.
  • The Astra DB ecosystem may be enhanced by expanding the ecosystem of plugins, integrations, and community-contributed solutions.
Read full review
  • How to do complete data profiling on documents loaded in Marklogic database?
  • Customers need a tools which can be customized to suit their data profiling needs but currently the tools which MarkLogic provides fall short on this requirement.
  • Unit testing framework which is using only XQuery as the language is lacking some features.
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Likelihood to Renew
No answers on this topic
Our firm has consultants for a number of technologies/disciplines. While I am capable and experienced in other areas, my preference is always to work on engagements with MarkLogic. As an architect and developer, I get far more flexibility and performance from one product instead of cobbling together a stack of several products to provide a capability that MarkLogic has rolled into one great product.
Read full review
Usability
It's a great product but suffers with counters. This isn't a deal breaker but lets down what is otherwise a good all round solution
Read full review
Very little about it can be done better or with greater ease. Even things that seem difficult aren't really that bad. There's multiple ways to accomplish any admin task. MarkLogic requires a fraction of administrative effort that you see with enterprise RDBMS like Oracle. MarkLogic is continually improving the tools to simplify cluster configuration and maintenance.
Read full review
Support Rating
Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.
Read full review
There's always room for improvement. Some problems get solved faster than others, of course. MarkLogic's direct support is very responsive and professional. If they can't help immediately, they always have good feedback and are eager to receive information and details to work to replicate the problem. They are quick to escalate major support issues and production show-stopping problems. In addition to MarkLogic's direct support, there are several employees who are very active among the community and many questions and common issues get quick attention from helpful responses to email and StackOverflow questions.
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Alternatives Considered
We also (briefly) considered building in-house. We wanted to avoid complex "Frankenstein" architectures. Combining Pinecone with another NoSQL datastore like DynamoDB would have increased complexity. A single-managed platform (Astra DB) enabled architectural simplicity and strong reliability, allowing Maester’s development team to prioritize high-value, customer-facing features
Read full review
In comparison to both Mongo and HBase, MarkLogic wins in terms of integration to other systems, while loosing in terms of pricing. In terms of documentation all will be in same range putting MarkLogic a bit forward.
Read full review
Scalability
We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.
Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.
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No answers on this topic
Return on Investment
  • Database growth planning is less of a concern with Astra, as it scales automatically.
  • Currently, they lack fine-grained security at the table level. I suspect that will change over time.
  • If your load has peaks and valleys; Astra enables only paying for Reads/Writes; thus you do not need to pay for large servers to support peaks in load.
Read full review
  • It took longer than expected to develop our application and get the level of consistent performance necessary. As a result, profit was flat for a couple of years but the benefits are really starting to kick in.
Read full review
ScreenShots