Apache Geode vs. Azure Cosmos 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
Azure Cosmos DB
Score 7.9 out of 10
N/A
Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.N/A
Pricing
Apache GeodeAzure Cosmos DB
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache GeodeAzure Cosmos DB
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache GeodeAzure Cosmos DB
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Apache GeodeAzure Cosmos DB
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache Geode
8.7
1 Ratings
1% below category average
Azure Cosmos DB
9.9
7 Ratings
12% above category average
Performance9.01 Ratings10.07 Ratings
Availability10.01 Ratings10.07 Ratings
Concurrency10.01 Ratings10.07 Ratings
Scalability8.01 Ratings10.07 Ratings
Data model flexibility7.01 Ratings9.07 Ratings
Deployment model flexibility8.01 Ratings10.07 Ratings
Security00 Ratings10.07 Ratings
Best Alternatives
Apache GeodeAzure Cosmos DB
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache GeodeAzure Cosmos DB
Likelihood to Recommend
7.0
(1 ratings)
10.0
(7 ratings)
Likelihood to Renew
-
(0 ratings)
7.6
(4 ratings)
Usability
8.0
(1 ratings)
8.8
(2 ratings)
Support Rating
1.0
(1 ratings)
9.2
(2 ratings)
User Testimonials
Apache GeodeAzure Cosmos 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.
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Microsoft
Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.
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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
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Microsoft
  • Scalable Instantly and automatically serverless database for any large scale business.
  • Quick access and response to data queries due to high speed in reading and writing data
  • Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation
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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.
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Microsoft
  • Expensive, so be careful of the use case.
  • We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.
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Likelihood to Renew
Apache
No answers on this topic
Microsoft
It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.
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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.
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Microsoft
It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.
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Support Rating
Apache
Never contacted support
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Microsoft
Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.
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Alternatives Considered
Apache
Still Experimenting. But looks promising as it has query capabilities over complex data structures
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Microsoft
Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.
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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
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Microsoft
  • It's made managing raw data much easier
  • It provides a way to maintain raw data at a low cost
  • It's easy to massage the data
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