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DBMS > Ingres vs. Machbase Neo vs. Microsoft Azure Synapse Analytics vs. Rockset vs. Splice Machine

System Properties Comparison Ingres vs. Machbase Neo vs. Microsoft Azure Synapse Analytics vs. Rockset vs. Splice Machine

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRockset  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionWell established RDBMSTimeSeries DBMS for AIoT and BigDataElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.actian.com/­databases/­ingresmachbase.comazure.microsoft.com/­services/­synapse-analyticsrockset.comsplicemachine.com
Technical documentationdocs.actian.com/­ingresmachbase.com/­dbmsdocs.microsoft.com/­azure/­synapse-analyticsdocs.rockset.comsplicemachine.com/­how-it-works
DeveloperActian CorporationMachbaseMicrosoftRocksetSplice Machine
Initial release1974 infooriginally developed at University Berkely in early 1970s2013201620192014
Current release11.2, May 2022V8.0, August 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree test version availablecommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++C++Java
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
hostedhostedLinux
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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 infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like query languageyesRead-only SQL queries, including JOINsyes
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
HTTP RESTJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
PHP
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoTransact SQLnoyes infoJava
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding, horizontal partitioningAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatorselectable replication factoryesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tableyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlyesAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard

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More resources
IngresMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRocksetSplice Machine
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