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DBMS > Databricks vs. Realm vs. Splice Machine vs. STSdb vs. Teradata Aster

System Properties Comparison Databricks vs. Realm vs. Splice Machine vs. STSdb vs. Teradata Aster

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSKey-value storeRelational 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
Score7.41
Rank#52  Overall
#8  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.databricks.comrealm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databricks.comrealm.io/­docssplicemachine.com/­how-it-works
DeveloperDatabricksRealm, acquired by MongoDB in May 2019Splice MachineSTS Soft SCTeradata
Initial release20132014201420112005
Current release3.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
WindowsLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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 infoin Aster File Store
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
.NET Client APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesPython
R
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesno inforuns within the applications so server-side scripts are unnecessaryyes infoJavanoR packages
Triggersyes infoChange Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyes infoIn-Memory realmyesno
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksRealmSplice MachineSTSdbTeradata Aster
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksRealmSplice MachineSTSdbTeradata Aster
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