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DBMS > Datomic vs. Google Cloud Bigtable vs. Redis vs. RethinkDB

System Properties Comparison Datomic vs. Google Cloud Bigtable vs. Redis vs. RethinkDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRedis  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Popular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSWide column storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument store
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#130  Overall
#65  Relational DBMS
Score3.63
Rank#91  Overall
#8  Wide column stores
Score173.54
Rank#6  Overall
#1  Key-value stores
Score3.22
Rank#95  Overall
#17  Document stores
Websitewww.datomic.comcloud.google.com/­bigtableredis.com
redis.io
rethinkdb.com
Technical documentationdocs.datomic.comcloud.google.com/­bigtable/­docsdocs.redis.com/­latest/­index.html
redis.io/­documentation
rethinkdb.com/­docs
DeveloperCognitectGoogleRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis LabsThe Linux Foundation infosince July 2017
Initial release2012201520092009
Current release0.9.5951, July 20196.2.6, October 20212.4.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Redis Enterprise Cloud: Instantly scale and pay only for the resources you need - on any cloud - AWS, Azure or Google Cloud.
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Implementation languageJava, ClojureCC++
Server operating systemsAll OS with a Java VMhostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infostring, binary, float, bool, date, geometry
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesnoyes infowith RediSearch moduleyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoLua; Redis Functions coming in Redis 7 (slides and Github)
TriggersBy using transaction functionsnopublish/subscribe channels provide some trigger functionality; RedisGearsClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesthrough RedisGearsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsAtomic execution of command blocks and scripts and optimistic lockingAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes infoMVCC based
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACLs): redis.io/­topics/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­topics/­encryption
Password-based authentication
yes infousers and table-level permissions
More information provided by the system vendor
DatomicGoogle Cloud BigtableRedisRethinkDB
Specific characteristicsThe Redis real-time data platform builds upon the unmatched simplicity and speed...
» more
Competitive advantagesRedis Enterprise is a robust in-memory database platform built by the people who...
» more
Typical application scenariosRedis Enterprise is used by large enterprise, startup, and government organizations...
» more
Key customersVerizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more
Market metricsMost launched Docker container per day according to Docker Hub (7.2M launches per...
» more
Licensing and pricing modelsRedis Enterprise Cloud lets users scale up and down instantly, and pay only for the...
» more

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More resources
DatomicGoogle Cloud BigtableRedisRethinkDB
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