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DBMS > Databricks vs. Datomic vs. EXASOL vs. InfluxDB vs. SiriDB

System Properties Comparison Databricks vs. Datomic vs. EXASOL vs. InfluxDB vs. SiriDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonInfluxDB  Xexclude from comparisonSiriDB  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 durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.DBMS for storing time series, events and metricsOpen Source Time Series DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.databricks.comwww.datomic.comwww.exasol.comwww.influxdata.com/­products/­influxdb-overviewsiridb.com
Technical documentationdocs.databricks.comdocs.datomic.comwww.exasol.com/­resourcesdocs.influxdata.com/­influxdbdocs.siridb.com
DeveloperDatabricksCognitectExasolCesbit
Initial release20132012200020132017
Current release1.0.6735, June 20232.7.6, April 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureGoC
Server operating systemshostedAll OS with a Java VMLinux
OS X infothrough Homebrew
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes infoNumeric data
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.yesnononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API.Net
JDBC
ODBC
WebSocket
HTTP API
JSON over UDP
HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
Java
Lua
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsuser defined functionsnono
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 infoDepending on used storage engineyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountssimple rights management via user accounts
More information provided by the system vendor
DatabricksDatomicEXASOLInfluxDBSiriDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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