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DBMS > Databricks vs. Datomic vs. Fauna vs. GreptimeDB

System Properties Comparison Databricks vs. Datomic vs. Fauna vs. GreptimeDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGreptimeDB  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 durabilityFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.An open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitewww.databricks.comwww.datomic.comfauna.comgreptime.com
Technical documentationdocs.databricks.comdocs.datomic.comdocs.fauna.comdocs.greptime.com
DeveloperDatabricksCognitectFauna, Inc.Greptime Inc.
Initial release2013201220142022
Current release1.0.7075, December 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureScalaRust
Server operating systemshostedAll OS with a Java VMhostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free, schema definition possible
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIRESTful HTTP APIgRPC
HTTP API
JDBC
Supported programming languagesPython
R
Scala
Clojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsuser defined functionsPython
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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 developmentno
User concepts infoAccess controlnoIdentity management, authentication, and access controlSimple rights management via user accounts
More information provided by the system vendor
DatabricksDatomicFauna infopreviously named FaunaDBGreptimeDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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DatabricksDatomicFauna infopreviously named FaunaDBGreptimeDB
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