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DBMS > Axibase vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. OpenMLDB vs. TimesTen

System Properties Comparison Axibase vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. OpenMLDB vs. TimesTen

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA 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.Database as a Service offering with high compatibility to Microsoft SQL ServerAn open-source machine learning database that provides a feature platform for training and inferenceAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databaseopenmldb.aiwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlopenmldb.ai/­docs/­zh/­maindocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperAxibase CorporationGoogleMicrosoft4 Paradigm Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20132017201020201998
Current release15585V122024-2 February 2024Release 22.1
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, Java, Scala
Server operating systemsLinuxhostedhostedLinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyesFixed schemayes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyesyes
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.nonoyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011yesyesyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (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
ODBC
JDBC
SQLAlchemy
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
Python
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesnoTransact SQLnoPL/SQL
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.yes, with always 3 replicas availableSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
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)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AxibaseGoogle Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzureOpenMLDBTimesTen
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