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DBMS > Databricks vs. HBase vs. Quasardb vs. STSdb

System Properties Comparison Databricks vs. HBase vs. Quasardb vs. STSdb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHBase  Xexclude from comparisonQuasardb  Xexclude from comparisonSTSdb  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.Wide-column store based on Apache Hadoop and on concepts of BigTableDistributed, high-performance timeseries databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Relational DBMS
Wide column storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.databricks.comhbase.apache.orgquasar.aigithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databricks.comhbase.apache.org/­book.htmldoc.quasar.ai/­master
DeveloperDatabricksApache Software Foundation infoApache top-level project, originally developed by PowersetquasardbSTS Soft SC
Initial release2013200820092011
Current release2.3.4, January 20213.14.1, January 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
BSD
Linux
OS X
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infointeger and binaryyes infoprimitive types and user defined types (classes)
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.yesnono
Secondary indexesyesnoyes infowith tagsno
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HTTP API.NET Client API
Supported programming languagesPython
R
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoCoprocessors in Javanono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACCryptographically strong user authentication and audit trailno
More information provided by the system vendor
DatabricksHBaseQuasardbSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHBaseQuasardbSTSdb
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