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DBMS > Databricks vs. Datomic vs. Warp 10

System Properties Comparison Databricks vs. Datomic vs. Warp 10

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonWarp 10  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 durabilityTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.06
Rank#351  Overall
#35  Time Series DBMS
Websitewww.databricks.comwww.datomic.comwww.warp10.io
Technical documentationdocs.databricks.comdocs.datomic.comwww.warp10.io/­content/­02_Getting_started
DeveloperDatabricksCognitectSenX
Initial release201320122015
Current release1.0.7180, July 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesPython
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyes infoWarpScript
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 developmentyes
User concepts infoAccess controlnoMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DatabricksDatomicWarp 10
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDatomicWarp 10
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