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DBMS > Databricks vs. Oracle Coherence vs. Postgres-XL vs. STSdb vs. VoltDB

System Properties Comparison Databricks vs. Oracle Coherence vs. Postgres-XL vs. STSdb vs. VoltDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSTSdb  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.Oracles in-memory data grid solutionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodDistributed 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
Key-value storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.databricks.comwww.oracle.com/­java/­coherencewww.postgres-xl.orggithub.com/­STSSoft/­STSdb4www.voltdb.com
Technical documentationdocs.databricks.comdocs.oracle.com/­en/­middleware/­standalone/­coherencewww.postgres-xl.org/­documentationdocs.voltdb.com
DeveloperDatabricksOracleSTS Soft SCVoltDB Inc.
Initial release201320072014 infosince 2012, originally named StormDB20112010
Current release14.1, August 202310 R1, October 20184.0.8, September 201511.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licenseOpen Source infoGPLv2, commercial license availableOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC#Java, C++
Server operating systemshostedAll OS with a Java VMLinux
macOS
WindowsLinux
OS X infofor development
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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.yesnoyes infoXML type, but no XML query functionality
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyes infodistributed, parallel query executionnoyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functionsnoJava
Triggersyes infoLive Eventsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with selectable consistency levelnoneMulti-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 ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurableACID infoMVCCnoACID 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 persistentyesyes infooptionallyyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standardnoUsers and roles with access to stored procedures
More information provided by the system vendor
DatabricksOracle CoherencePostgres-XLSTSdbVoltDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksOracle CoherencePostgres-XLSTSdbVoltDB
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