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DBMS > Google Cloud Spanner vs. Postgres-XL vs. Redis vs. SAP SQL Anywhere vs. SQLite

System Properties Comparison Google Cloud Spanner vs. Postgres-XL vs. Redis vs. SAP SQL Anywhere vs. SQLite

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRedis  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresPopular 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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document 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
Score2.89
Rank#105  Overall
#53  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score156.44
Rank#6  Overall
#1  Key-value stores
Score4.57
Rank#78  Overall
#43  Relational DBMS
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­spannerwww.postgres-xl.orgredis.com
redis.io
www.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.sqlite.org
Technical documentationcloud.google.com/­spanner/­docswww.postgres-xl.org/­documentationdocs.redis.com/­latest/­index.html
redis.io/­docs
help.sap.com/­docs/­SAP_SQL_Anywherewww.sqlite.org/­docs.html
DeveloperGoogleRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.SAP infoformerly SybaseDwayne Richard Hipp
Initial release20172014 infosince 2012, originally named StormDB200919922000
Current release10 R1, October 20187.2.4, January 202417, July 20153.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterprisecommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageCCC
Server operating systemshostedLinux
macOS
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
AIX
HP-UX
Linux
OS X
Solaris
Windows
server-less
Data schemeyesyesschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes infonot rigid because of 'dynamic typing' concept.
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.noyes infoXML type, but no XML query functionalitynoyesno
Secondary indexesyesyesyes infowith RediSearch moduleyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011yes infodistributed, parallel query executionwith RediSQL moduleyesyes infoSQL-92 is not fully supported
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
HTTP API
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnouser defined functionsLua; Redis Functions coming in Redis 7 (slides and Github)yes, in C/C++, Java, .Net or Perlno
Triggersnoyespublish/subscribe channels provide some trigger functionality; RedisGearsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Source-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownothrough RedisGearsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual 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 integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACID infoMVCCAtomic execution of command blocks and scripts and optimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess 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
fine grained access rights according to SQL-standardno

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