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DBMS > Databricks vs. OpenQM vs. Postgres-XL vs. TimescaleDB vs. VoltDB

System Properties Comparison Databricks vs. OpenQM vs. Postgres-XL vs. TimescaleDB vs. VoltDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.QpenQM is a high-performance, self-tuning, multi-value DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Relational DBMS
Multivalue DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.databricks.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.postgres-xl.orgwww.timescale.comwww.voltdb.com
Technical documentationdocs.databricks.comwww.postgres-xl.org/­documentationdocs.timescale.comdocs.voltdb.com
DeveloperDatabricksRocket Software, originally Martin PhillipsTimescaleVoltDB Inc.
Initial release201319932014 infosince 2012, originally named StormDB20172010
Current release3.4-1210 R1, October 20182.15.0, May 202411.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoMozilla public licenseOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCJava, C++
Server operating systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infowith some exceptionsyesyesyes
Typing infopredefined data types such as float or dateyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.yesyesyes infoXML type, but no XML query functionalityyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes infodistributed, parallel query executionyes infofull PostgreSQL SQL syntaxyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellJava
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioningyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and roles with access to stored procedures
More information provided by the system vendor
DatabricksOpenQM infoalso called QMPostgres-XLTimescaleDBVoltDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOpenQM infoalso called QMPostgres-XLTimescaleDBVoltDB
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