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DBMS > Google Cloud Datastore vs. Redis vs. STSdb

System Properties Comparison Google Cloud Datastore vs. Redis vs. STSdb

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonRedis  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformPopular 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.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceKey-value store
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#71  Overall
#12  Document stores
Score149.63
Rank#6  Overall
#1  Key-value stores
Score0.03
Rank#363  Overall
#54  Key-value stores
Websitecloud.google.com/­datastoreredis.com
redis.io
github.com/­STSSoft/­STSdb4
Technical documentationcloud.google.com/­datastore/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperGoogleRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.STS Soft SC
Initial release200820092011
Current release7.2.5, May 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#
Server operating systemshostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes, details herepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesyesyes infowith RediSearch moduleno
SQL infoSupport of SQLSQL-like query language (GQL)with RediSQL moduleno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
proprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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#
Java
Server-side scripts infoStored proceduresusing Google App EngineLua; Redis Functions coming in Redis 7 (slides and Github)no
TriggersCallbacks using the Google Apps Enginepublish/subscribe channels provide some trigger functionality; RedisGearsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowthrough RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsAtomic execution of command blocks and scripts and optimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyes 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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
no

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More resources
Google Cloud DatastoreRedisSTSdb
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