Apache Cassandra vs. Weaviate

Weaviate

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Cassandra	Score 9.0 out of 10	N/A	Cassandra is a no-SQL database from Apache.	N/A
Weaviate	Score 8.0 out of 10	N/A	Weaviate is an open-source vector database used to store data objects and vector embeddings from ML-models, and scale into billions of data objects, from the company of the same name in Amsterdam. Users can can index billions of data objects to search through, and combine multiple search techniques, such as keyword-based and vector search, to provide search experiences.	$0

Pricing

Apache Cassandra

Weaviate

Editions & Modules

No answers on this topic

Open Source — Free (self-hosted, BSD-3-Clause): $0
Free Tier: $0
Flex: $45
per month
Premium: $400
per month
Enterprise: Contact Sales
per month

Offerings

Pricing Offerings
Cassandra	Weaviate
Free Trial
No	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

—

Weaviate Cloud pricing is consumption-based. Add-on services are priced separately: Query Agent (free tier of 1,000 requests/month; $30/organization includes 4,000 requests, then usage-based) and Weaviate Embeddings (usage-based per token). Engram, Weaviate's agent-memory service, is a separate product with its own free and paid tiers.

More Pricing Information

Community Pulse
	Apache Cassandra	Weaviate
Considered Both Products	Cassandra Priti Asai / Thakkar Lead Software Engineer Chose Cassandra Cassandra handles high traffic transactions more powerfully compared to MongoDB. Incentivized Helpful? Glen Kim Senior Software Engineer Chose Cassandra It was packaged with the vendor product we bought. Also, it’s good for high performance transactional systems. I'm part of our NoSQL team and Cassandra quickly became a favorite for developers with agile teams. Incentivized Helpful? Verified User Anonymous Chose Cassandra DynamoDB is good and is also a truly global database as a service on AWS. However, if your organization is not using AWS, then Cassandra will provide a highly scalable and tuneable, consistent database. Cassandra is also fault-tolerant and good for replication across multiple … Incentivized Helpful? Dhruba Jyoti Nag Associate Chose Cassandra Cassandra has its own use case. It performs very well as a data store. Data can be written to it at a high rate. It cannot be compared to traditional RDBMS like Oracle, because they all have their own usage. Even MongoDB, which is somewhat similar, cannot be stacked up against … Incentivized Helpful? yixiang Shan IT Strategic Technical Advisor Chose Cassandra We evaluated MongoDB also, but don't like the single point failure possibility. The HBase coupled us too tightly to the Hadoop world while we prefer more technical flexibility. Also HBase is designed for "cold"/old historical data lake use cases and is not typically used for … Incentivized Helpful? Ravi Reddy Lead Engineer Consultant Chose Cassandra Technology selection should be done based on the need and not based on buzz words in the market (google searching). If your data need flat file approach and more searchable based on index and partition keys, then it's better to go for Cassandra. Cassandra is a better choice … Incentivized Helpful? Verified User Anonymous Chose Cassandra Cassandra is the only NoSQL database I have extensive experience with. In terms of other open source database solutions, I can say that I like Cassandra as much or equally as traditional Oracle MySql, and a lot more than PostgresSQL. The decision to use Cassandra was driven by … Incentivized Helpful? Anson Abraham Data Lord Chose Cassandra Against HBASE, writes were faster. Reads not so much. Also ability to store in other formats would be good (such as objects). Compared to aerospike, does not compare. Aerospike blows it out of water. Incentivized Helpful? Abdel Kamel DevOps Manager Chose Cassandra Cassandra does one thing very well. It's able to collect any type of metrics and analytics and store them at very fast speeds. But when it comes to reading the data, there are minor performance issues. That's when other databases such as couchdb or couchbase come in. They can … Incentivized Helpful? Verified User Anonymous Chose Cassandra These are the features which makes Cassandra different from others: Cassandra is a distributed datastore, with a built-in coordinator. This means that requests are intelligently forwarded to the correct node. It is generally very fast, and especially shines with write heavy … Incentivized Helpful? Rekha Joshi Staff Software Engineer Chose Cassandra Apache Cassandra has the best of both worlds, it is a Java based NoSQL, linearly scalable, best in class tunable performance across different workloads, fault tolerant, distributed, masterless, time series database. We have used both Apache HBase and MongoDB for some use cases … Incentivized Helpful? David Prinzing Chief Technology Officer Chose Cassandra Four years ago, I needed to choose a web-scale database. Having used relational databases for years (PostgreSQL is my favorite), I needed something that could perform well at scale with no downtime. I considered VoltDB for its in-memory speed, but it's limited in scale. I … Incentivized Helpful? Kalpesh Gada Software Engineer Chose Cassandra I tried to evaluate Cassandra against Voldemort and found Cassandra more efficient when writing scalable applications. Incentivized Helpful? Verified User Anonymous Chose Cassandra We also evaluated mySQL and mongoDB. Both of them have their strengths and weaknesses but they are less suited for storing massive amounts of time series data. In addition, they are not elastic by nature and we required a "future-proof" solution as it was difficult to estimate … Incentivized Helpful? Gary Ogasawara VP Engineering Chose Cassandra Cassandra is well suited to more complex networks like multiple data centers. The underlying distributed systems logic is fundamentally sound. Incentivized Helpful?	Weaviate No answer on this topic

Best Alternatives
	Apache Cassandra	Weaviate
Small Businesses	No answers on this topic	Redis Software Score 8.8 out of 10
Medium-sized Companies	Azure Cosmos DB Score 9.0 out of 10	Redis Software Score 8.8 out of 10
Enterprises	Azure Cosmos DB Score 9.0 out of 10	Redis Software Score 8.8 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Apache Cassandra	Weaviate
Likelihood to Recommend	6.0 (0 ratings)	- (0 ratings)
Likelihood to Renew	8.6 (0 ratings)	- (0 ratings)
Usability	7.0 (0 ratings)	- (0 ratings)
Support Rating	7.0 (0 ratings)	- (0 ratings)
Implementation Rating	7.0 (0 ratings)	- (0 ratings)

User Testimonials
	Apache Cassandra	Weaviate
Likelihood to Recommend	Cassandra excels in a broad range of applications -- especially if you understand its data model and write your applications accordingly. It's an excellent choice for time-series data, and a poor choice for application queues. It performs the best if you can simply record history and compute from it, rather than going back and editing or deleting things a lot. Incentivized David Prinzing Chief Technology Officer Read full review	No answers on this topic
Pros	High Availability - we utilize the data replication features of Cassandra. This enables us to access our data even when several nodes have gone down Data Locality - our architecture combines Cassandra storage nodes and computation nodes in the same machine. This enables us to utilize data locality and limit expensive network IO to read data. Elasticity - Cassandra is a shared nothing architecture. Nodes can be added very easily and they discover the network topology. As soon as a node has joined the Cassandra ring, the data is redistributed among the existing nodes and streamed to it automatically. Incentivized Verified User Anonymous Read full review	No answers on this topic
Cons	No Ad-Hoc Queries: Cassandra data storage layer is basically a key-value storage system. This means that you must "model" your data around the queries you want to surface, rather than around the structure of the data itself. There are no aggregations queries available in Cassandra. Not fit for transactional data. Incentivized Ravi Reddy Lead Engineer Consultant Read full review	No answers on this topic
Likelihood to Renew	I would recommend Cassandra DB to those who know their use case very well, as well as know how they are going to store and retrieve data. If you need a guarantee in data storage and retrieval, and a DB that can be linearly grown by adding nodes across availability zones and regions, then this is the database you should choose. Incentivized Verified User Anonymous Read full review	No answers on this topic
Usability	It’s great tool but it can be complicated when it comes administration and maintenance. Incentivized Glen Kim Senior Software Engineer Read full review	No answers on this topic
Support Rating	Sometimes instead giving straight answer, we ‘re getting transfered to talk professional service. Incentivized Glen Kim Senior Software Engineer Read full review	No answers on this topic
Alternatives Considered	Apache Cassandra has the best of both worlds, it is a Java based NoSQL, linearly scalable, best in class tunable performance across different workloads, fault tolerant, distributed, masterless, time series database. We have used both Apache HBase and MongoDB for some use cases which were within hadoop setup and JSON (JavaScript Object Notation) document store respectively, but given the overall factors favoring Apache Cassandra, it is a technology choice for multiple platforms! Incentivized Rekha Joshi Staff Software Engineer Read full review	No answers on this topic
Return on Investment	The open source version of Cassandra is only suggested for learning the basic concepts and play with its core features. Unless you really want to invest a lot in your developers and architects knowing every detail of Cassandra, I prefer the DataStax enterprise version. Although the license cost is relatively high, I think they it is worth it. I'm thinking about the support, the monitoring tool OpsCenter, and the integration of Solr and Spark (for data analysis). Cassandra didn't fully replace our old and traditional relation database Oracle. In addition, it opens another door for us to deal with some special business use cases that NoSQL database can do better in a more feasible and efficient way. Incentivized yixiang Shan IT Strategic Technical Advisor Read full review	No answers on this topic
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