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DBMS > Databend vs. Ingres vs. Microsoft Azure Synapse Analytics vs. Oracle Coherence vs. Splice Machine

System Properties Comparison Databend vs. Ingres vs. Microsoft Azure Synapse Analytics vs. Oracle Coherence vs. Splice Machine

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOracles in-memory data grid solutionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­java/­coherencesplicemachine.com
Technical documentationdocs.databend.comdocs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­en/­middleware/­standalone/­coherencesplicemachine.com/­how-it-works
DeveloperDatabend LabsActian CorporationMicrosoftOracleSplice Machine
Initial release20211974 infooriginally developed at University Berkely in early 1970s201620072014
Current release1.0.59, April 202311.2, May 202214.1, August 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCC++JavaJava
Server operating systemshosted
Linux
macOS
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLyesyesyesnoyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
JCache
JPA
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
Java
PHP
.Net
C++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesTransact SQLnoyes infoJava
Triggersnoyesnoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneIngres Replicatoryesyes, with selectable consistency levelMulti-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 ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno 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 datayesACIDACIDconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardyesauthentification to access the cache via certificates or http basic authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
DatabendIngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle CoherenceSplice Machine
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