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DBMS > Ingres vs. Microsoft Azure Synapse Analytics vs. SingleStore vs. Splice Machine vs. ToroDB

System Properties Comparison Ingres vs. Microsoft Azure Synapse Analytics vs. SingleStore vs. Splice Machine vs. ToroDB

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analyticswww.singlestore.comsplicemachine.comgithub.com/­torodb/­server
Technical documentationdocs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analyticsdocs.singlestore.comsplicemachine.com/­how-it-works
DeveloperActian CorporationMicrosoftSingleStore Inc.Splice Machine8Kdata
Initial release1974 infooriginally developed at University Berkely in early 1970s2016201320142016
Current release12.0, July 20248.5, January 20243.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++, GoJavaJava
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedLinux info64 bit version requiredLinux
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyes infobut no triggers and foreign keysyes
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Java
PHP
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesTransact SQLyesyes infoJava
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioningSharding infohash partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatoryesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesFine grained access control via users, groups and rolesAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
IngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSingleStore infoformer name was MemSQLSplice MachineToroDB
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