Apache Geode vs. Astra DB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Geode
Score 7.0 out of 10
N/A
Apache Geode is a distributed in-memory database designed to support low latency, high concurrency solutions, available free and open source since 2002. With it, users can build high-speed, data-intensive applications that elastically meet performance requirements. Apache Geode blends techniques for data replication, partitioning and distributed processing.N/A
Astra DB
Score 8.6 out of 10
N/A
Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.N/A
Pricing
Apache GeodeAstra DB
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache GeodeAstra DB
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache GeodeAstra DB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache Geode
8.7
1 Ratings
2% below category average
Astra DB
-
Ratings
Performance9.01 Ratings00 Ratings
Availability10.01 Ratings00 Ratings
Concurrency10.01 Ratings00 Ratings
Scalability8.01 Ratings00 Ratings
Data model flexibility7.01 Ratings00 Ratings
Deployment model flexibility8.01 Ratings00 Ratings
Vector Database
Comparison of Vector Database features of Product A and Product B
Apache Geode
-
Ratings
Astra DB
8.0
12 Ratings
0% above category average
Vector Data Connection00 Ratings8.212 Ratings
Vector Data Editing00 Ratings8.56 Ratings
Attribute Management00 Ratings8.010 Ratings
Geospatial Analysis00 Ratings8.26 Ratings
Geometric Transformations00 Ratings8.06 Ratings
Vector Data Visualization00 Ratings7.67 Ratings
Coordinate Reference System Management:00 Ratings7.66 Ratings
Data Import/Export00 Ratings7.711 Ratings
Symbolization and Styling00 Ratings8.45 Ratings
Data Sharing and Collaboration00 Ratings7.79 Ratings
Best Alternatives
Apache GeodeAstra DB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Redis Software
Redis Software
Score 8.9 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Redis Software
Redis Software
Score 8.9 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Redis Software
Redis Software
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache GeodeAstra DB
Likelihood to Recommend
7.0
(1 ratings)
8.5
(46 ratings)
Usability
8.0
(1 ratings)
7.8
(4 ratings)
Support Rating
1.0
(1 ratings)
8.9
(4 ratings)
Product Scalability
-
(0 ratings)
8.4
(44 ratings)
User Testimonials
Apache GeodeAstra DB
Likelihood to Recommend
Apache
The biggest advantage of using Apache Geode is DB like consistency. So for applications whose data needs to be in-memory, accessible at low latencies and most importantly writes have to be consistent, should use Apache Geode. For our application quite some amount of data is static which we store in MySQL as it can be easily manipulated. But since this data is large R/w from DB becomes expensive. So we started using Redis. Redis does a brilliant job, but with complex data structures and no query like capability, we have to manage it via code. We are experimenting with Apache Geode and it looks promising as now we can query on complex data-structures and get the required data quickly and also updates consistent.
Read full review
DataStax
We've been super happy with Astra DB. It's been extremely well-suited for our vector search needs as described in previous responses. With Astra DB’s high-performance vector search, Maester’s AI dynamically optimizes responses in real-time, adapting to new user interactions without requiring costly retraining cycles.
Read full review
Pros
Apache
  • Super Fast data pull/push
  • Provided ACID transactions, so it works like a SQL Database
  • Provides replication & partitioning, so our data is never lost and extraction is super fast. NoSql like properties
Read full review
DataStax
  • 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
Cons
Apache
  • Needs more supporting languages. Out of box Python, Nodejs adapters would be wonderful
  • Currently it supports just KV Store. But if we could cache documents or timeseries data would be great
  • Needs more community support, documentation.
Read full review
DataStax
  • Need better fine-grained Security options.
  • The support team sometimes requires the escalate button pressed on tickets, to get timely responses. I will say, once the ticket is escalated, action is taken.
  • They require better documentation on the migration of data. The three primary methods for migrating large data volumes are bulk, Cassandra Data Migrator, and ZDM (Zero Downtime Migration Utility). Over time I have become very familiar will all three of these methods; however, through working with the Services team and the support team, it seemed like we were breaking new ground. I feel if the utilities were better documented and included some examples and/or use cases from large data migrations; this process would have been easier. One lesson learned is you likely need to migrate your application servers to the same cloud provider you host Astra on; otherwise, the latency is too large for latency-sensitive applications.
Read full review
Usability
Apache
Still Experimenting. Initial results are good. we need to figure out if we can completely replace Redis. Cost wise if it makes sense to keep both or replacement is feasible.
Read full review
DataStax
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
Support Rating
Apache
Never contacted support
Read full review
DataStax
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
Alternatives Considered
Apache
Still Experimenting. But looks promising as it has query capabilities over complex data structures
Read full review
DataStax
Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB operates on Java while Mongo DB operates on C++
Read full review
Scalability
Apache
No answers on this topic
DataStax
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.
Read full review
Return on Investment
Apache
  • Still experimenting so difficult to quote
  • For a small size project/teams might be an overkill as it still has certain learning curve
  • For Medium to large projects with complex Data Structures that need to be queried with a fast o/p it definitely works
Read full review
DataStax
  • Better uptime due to the managed service having no outages
  • Less technical debt because we don't need to worry about upgrading our Cassandra clusters
  • Lower cost on infrastructure as a whole
  • Quick and easy to integrate vector search into our tech stack
Read full review
ScreenShots