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Astra DB, now part of IBM watsonx.data vs. Redis Software

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Astra DB, now part of IBM watsonx.data

    Score8.8 out of 10
    N/AAstra 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

    Redis Software

    Score8.8 out of 10
    N/ARedis is an open source in-memory data structure server and NoSQL database.N/A
    Pricing
    Astra DB, now part of IBM watsonx.dataRedis Software
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Astra DB, now part of IBM watsonx.dataRedis Software
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    YesYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Astra DB, now part of IBM watsonx.dataRedis Software
    Considered Both Products
    Discontinued Products
    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.
    Incentivized
    Chose Astra DB, now part of IBM watsonx.data
    Free plan of AstaDB was convenient for us to start development without initial cost spending. Free features comparably to DynamoDB, CosmosDB and Scylla are richer and efficient to start development.
    Incentivized
    Redis
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    46 Answers
    100%
    Would buy again
    6 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    45 Answers
    100%
    Delivers good value for the price
    6 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    45 Answers
    100%
    Happy with the feature set
    6 Answers
    Lived up to sales and marketing promises
    98%
    Lived up to sales and marketing promises
    40 Answers
    100%
    Lived up to sales and marketing promises
    6 Answers
    Implementation went as expected
    98%
    Implementation went as expected
    44 Answers
    100%
    Implementation went as expected
    6 Answers
    Features
    Astra DB, now part of IBM watsonx.dataRedis Software
    Vector Database
    Comparison of Vector Database features of Astra DB, now part of IBM watsonx.data and Redis Software
    Feature
    Astra DB, now part of IBM watsonx.data
    8.0
    12 Ratings
    1% above category average
    Redis Software
    -
    Ratings
    Vector Data Connection8.212 Ratings00 Ratings
    Vector Data Editing8.56 Ratings00 Ratings
    Attribute Management7.710 Ratings00 Ratings
    Geospatial Analysis8.26 Ratings00 Ratings
    Geometric Transformations8.06 Ratings00 Ratings
    Vector Data Visualization8.07 Ratings00 Ratings
    Coordinate Reference System Management:7.96 Ratings00 Ratings
    Data Import/Export8.011 Ratings00 Ratings
    Symbolization and Styling8.35 Ratings00 Ratings
    Data Sharing and Collaboration7.69 Ratings00 Ratings
    User Ratings
    Astra DB, now part of IBM watsonx.dataRedis Software
    Likelihood to Recommend
    8.7
    (46 ratings)
    8.0
    (76 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.7
    (12 ratings)
    Usability
    7.8
    (4 ratings)
    9.0
    (6 ratings)
    Support Rating
    8.9
    (4 ratings)
    8.7
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    Product Scalability
    8.6
    (44 ratings)
    -
    (0 ratings)
    User Testimonials
    Astra DB, now part of IBM watsonx.dataRedis Software
    Likelihood to Recommend
    Discontinued Products
    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.
    Incentivized
    Read full review
    Redis
    Redis has been a great investment for our organization as we needed a solution for high speed data caching. The ramp up and integration was quite easy. Redis handles automatic failover internally, so no crashes provides high availability. On the fly scaling scale to more/less cores and memory as and when needed.
    Incentivized
    Read full review
    Pros
    Discontinued Products
    • 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.
    Incentivized
    Read full review
    Redis
    • Easy for developers to understand. Unlike Riak, which I've used in the past, it's fast without having to worry about eventual consistency.
    • Reliable. With a proper multi-node configuration, it can handle failover instantly.
    • Configurable. We primarily still use Memcache for caching but one of the teams uses Redis for both long-term storage and temporary expiry keys without taking on another external dependency.
    • Fast. We process tens of thousands of RPS and it doesn't skip a beat.
    Incentivized
    Read full review
    Cons
    Discontinued Products
    • 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.
    Incentivized
    Read full review
    Redis
    • We had some difficulty scaling Redis without it becoming prohibitively expensive.
    • Redis has very simple search capabilities, which means its not suitable for all use cases.
    • Redis doesn't have good native support for storing data in object form and many libraries built over it return data as a string, meaning you need build your own serialization layer over it.
    Incentivized
    Read full review
    Likelihood to Renew
    Discontinued Products
    No answers on this topic
    Redis
    We will definitely continue using Redis because: 1. It is free and open source. 2. We already use it in so many applications, it will be hard for us to let go. 3. There isn't another competitive product that we know of that gives a better performance. 4. We never had any major issues with Redis, so no point turning our backs.
    Incentivized
    Read full review
    Usability
    Discontinued Products
    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
    Incentivized
    Read full review
    Redis
    It is quite simple to set up for the purpose of managing user sessions in the backend. It can be easily integrated with other products or technologies, such as Spring in Java. If you need to actually display the data stored in Redis in your application this is a bit difficult to understand initially but is possible.
    Incentivized
    Read full review
    Support Rating
    Discontinued Products
    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.
    Incentivized
    Read full review
    Redis
    The support team has always been excellent in handling our mostly questions, rarely problems. They are responsive, find the solution and get us moving forward again. I have never had to escalate a case with them. They have always solved our problems in a very timely manner. I highly commend the support team.
    Incentivized
    Read full review
    Implementation Rating
    Discontinued Products
    No answers on this topic
    Redis
    Whitelisting of the AWS lambda functions.
    Incentivized
    Read full review
    Alternatives Considered
    Discontinued Products
    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++
    Incentivized
    Read full review
    Redis
    We are big users of MySQL and PostgreSQL. We were looking at replacing our aging web page caching technology and found that we could do it in SQL, but there was a NoSQL movement happening at the time. We dabbled a bit in the NoSQL scene just to get an idea of what it was about and whether it was for us. We tried a bunch, but I can only seem to remember Mongo and Couch. Mongo had big issues early on that drove us to Redis and we couldn't quite figure out how to deploy couch.
    Incentivized
    Read full review
    Scalability
    Discontinued Products
    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.
    Incentivized
    Read full review
    Redis
    No answers on this topic
    Return on Investment
    Discontinued Products
    • 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
    Incentivized
    Read full review
    Redis
    • Redis has helped us increase our throughput and server data to a growing amount of traffic while keeping our app fast. We couldn't have grown without the ability to easily cache data that Redis provides.
    • Redis has helped us decrease the load on our database. By being able to scale up and cache important data, we reduce the load on our database reducing costs and infra issues.
    • Running a Redis node on something like AWS can be costly, but it is often a requirement for scaling a company. If you need data quickly and your business is already a positive ROI, Redis is worth the investment.
    Incentivized
    Read full review
    ScreenShots

    Redis Software Screenshots

    Screenshot of Database configurationScreenshot of Database metricsScreenshot of DatabasesScreenshot of NodesScreenshot of Alerts