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

System Properties Comparison Ingres vs. Machbase Neo vs. Microsoft Azure Synapse Analytics vs. Qdrant 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 comparisonQdrant  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 high-performance vector database with neural network or semantic-based matchingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMSRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.actian.com/­databases/­ingresmachbase.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­qdrant/­qdrant
qdrant.tech
splicemachine.com
Technical documentationdocs.actian.com/­ingresmachbase.com/­dbmsdocs.microsoft.com/­azure/­synapse-analyticsqdrant.tech/­documentationsplicemachine.com/­how-it-works
DeveloperActian CorporationMachbaseMicrosoftQdrantSplice Machine
Initial release1974 infooriginally developed at University Berkely in early 1970s2013201620212014
Current release12.0, July 2024V8.0, August 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree test version availablecommercialOpen Source infoApache Version 2.0Open 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 languageCCC++RustJava
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
hostedDocker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Booleanyes
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 infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLyesSQL-like query languageyesnoyes
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
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoTransact SQLyes infoJava
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding, horizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatorselectable replication factoryesCollection-level replicationMulti-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 Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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 tableyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlyesKey-based authenticationAccess 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 WarehouseQdrantSplice Machine
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