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DBMS > Databricks vs. Datomic vs. RocksDB vs. SAP SQL Anywhere

System Properties Comparison Databricks vs. Datomic vs. RocksDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonRocksDB  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.databricks.comwww.datomic.comrocksdb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.databricks.comdocs.datomic.comgithub.com/­facebook/­rocksdb/­wikihelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperDatabricksCognitectFacebook, Inc.SAP infoformerly Sybase
Initial release2013201220131992
Current release1.0.6735, June 20238.11.4, April 202417, July 2015
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++
Server operating systemshostedAll OS with a Java VMLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIC++ API
Java API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesPython
R
Scala
Clojure
Java
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsnoyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDatomicRocksDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatabricksDatomicRocksDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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