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DBMS > Ingres vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. Splice Machine vs. VictoriaMetrics

System Properties Comparison Ingres vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. Splice Machine vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionWell established RDBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series 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
Score2.68
Rank#102  Overall
#19  Document stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitewww.actian.com/­databases/­ingresazure.microsoft.com/­services/­synapse-analyticsravendb.netsplicemachine.comvictoriametrics.com
Technical documentationdocs.actian.com/­ingresdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docssplicemachine.com/­how-it-worksdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperActian CorporationMicrosoftHibernating RhinosSplice MachineVictoriaMetrics
Initial release1974 infooriginally developed at University Berkely in early 1970s2016201020142018
Current release12.0, July 20245.4, July 20223.1, March 2021v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
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#JavaGo
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 availablenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesSQL-like query language (RQL)yesno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesTransact SQLyesyes infoJavano
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding, horizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatoryesMulti-source replicationMulti-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyEventual 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 dataACIDACIDACID, Cluster-wide transaction availableACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAuthorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standard

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More resources
IngresMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDBSplice MachineVictoriaMetrics
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