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DBMS > Databricks vs. GeoMesa vs. IBM Db2 vs. Riak TS vs. SAP SQL Anywhere

System Properties Comparison Databricks vs. GeoMesa vs. IBM Db2 vs. Riak TS vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonRiak TS  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Common in IBM host environments, 2 different versions for host and Windows/LinuxRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store
Relational DBMS
Spatial DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBTime Series DBMSRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitewww.databricks.comwww.geomesa.orgwww.ibm.com/­products/­db2www.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.ibm.com/­docs/­en/­db2www.tiot.jp/­riak-docs/­riak/­ts/­latesthelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperDatabricksCCRi and othersIBMOpen Source, formerly Basho TechnologiesSAP infoformerly Sybase
Initial release201320141983 infohost version20151992
Current release5.0.0, May 202412.1, October 20163.0.0, September 202217, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial infofree version is availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++Erlang
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonoyes
Secondary indexesyesyesyesrestrictedyes
SQL infoSupport of SQLwith Databricks SQLnoyesyes, limitedyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
HTTP API
Native Erlang Interface
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesPython
R
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesErlangyes, in C/C++, Java, .Net or Perl
Triggersnoyesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerSharding infoonly with Windows/Unix/Linux VersionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layeryes infowith separate tools (MQ, InfoSphere)selectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nodepending on storage layeryes
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGeoMesaIBM Db2 infoformerly named DB2 or IBM Database 2Riak TSSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGeoMesaIBM Db2 infoformerly named DB2 or IBM Database 2Riak TSSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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