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DBMS > Google Cloud Spanner vs. HBase vs. Informix vs. STSdb

System Properties Comparison Google Cloud Spanner vs. HBase vs. Informix vs. STSdb

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHBase  Xexclude from comparisonInformix  Xexclude from comparisonSTSdb  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.Wide-column store based on Apache Hadoop and on concepts of BigTableA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSWide column storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitecloud.google.com/­spannerhbase.apache.orgwww.ibm.com/­products/­informixgithub.com/­STSSoft/­STSdb4
Technical documentationcloud.google.com/­spanner/­docshbase.apache.org/­book.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.STS Soft SC
Initial release2017200819842011
Current release2.3.4, January 202114.10.FC5, November 20204.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infofree developer edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and JavaC#
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
macOS
Solaris
Windows
Windows
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes infoSince Version 12.10 support for JSON/BSON datatypesyes 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 indexesyesnoyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyesno
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
Java API
RESTful HTTP API
Thrift
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javayesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authentication, authorization, and auditing controlsno

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More resources
Google Cloud SpannerHBaseInformixSTSdb
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