Apache Geode vs. Redis™*

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
Redis™*
Score 9.0 out of 10
N/A
Redis is an open source in-memory data structure server and NoSQL database.
$388
per month
Pricing
Apache GeodeRedis™*
Editions & Modules
No answers on this topic
Cloud
$388.00
per month
Offerings
Pricing Offerings
Apache GeodeRedis™*
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Apache GeodeRedis™*
Considered Both Products
Apache Geode
Chose Apache Geode
Still Experimenting. But looks promising as it has query capabilities over complex data structures
Redis™*

No answer on this topic

Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Apache GeodeRedis™*
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Apache Geode
8.7
1 Ratings
1% below category average
Redis™*
9.2
69 Ratings
5% above category average
Performance9.01 Ratings10.069 Ratings
Availability10.01 Ratings9.069 Ratings
Concurrency10.01 Ratings9.068 Ratings
Scalability8.01 Ratings9.469 Ratings
Data model flexibility7.01 Ratings9.962 Ratings
Deployment model flexibility8.01 Ratings9.362 Ratings
Security00 Ratings8.063 Ratings
Best Alternatives
Apache GeodeRedis™*
Small Businesses
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
IBM Cloudant
IBM Cloudant
Score 8.3 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache GeodeRedis™*
Likelihood to Recommend
7.0
(1 ratings)
7.7
(76 ratings)
Likelihood to Renew
-
(0 ratings)
8.7
(12 ratings)
Usability
8.0
(1 ratings)
8.2
(5 ratings)
Support Rating
1.0
(1 ratings)
8.7
(5 ratings)
Implementation Rating
-
(0 ratings)
7.3
(1 ratings)
User Testimonials
Apache GeodeRedis™*
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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Redis Labs
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.
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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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Redis Labs
  • 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.
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
Redis Labs
  • 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.
Read full review
Likelihood to Renew
Apache
No answers on this topic
Redis Labs
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.
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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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Redis Labs
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.
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Support Rating
Apache
Never contacted support
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Redis Labs
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.
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Implementation Rating
Apache
No answers on this topic
Redis Labs
Whitelisting of the AWS lambda functions.
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Alternatives Considered
Apache
Still Experimenting. But looks promising as it has query capabilities over complex data structures
Read full review
Redis Labs
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.
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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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Redis Labs
  • 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.
Read full review
ScreenShots

Redis™* Screenshots

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