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DBMS > Apache Druid vs. Databricks vs. Datomic vs. TerminusDB

System Properties Comparison Apache Druid vs. Databricks vs. Datomic vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataThe 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 durabilityScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitedruid.apache.orgwww.databricks.comwww.datomic.comterminusdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databricks.comdocs.datomic.comterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsDatabricksCognitectDataChemist Ltd.
Initial release2012201320122018
Current release29.0.1, April 20241.0.7075, December 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infolimited edition freeOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureProlog, Rust
Server operating systemsLinux
OS X
Unix
hostedAll OS with a Java VMLinux
Data schemeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingwith Databricks SQLnoSQL-like query language (WOQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
Clojure
Java
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infoTransaction Functionsyes
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peersGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnone infoBut extensive use of caching in the application peersJournaling Streams
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 datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and development
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoRole-based access control
More information provided by the system vendor
Apache DruidDatabricksDatomicTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DruidDatabricksDatomicTerminusDB infoformer name was DataChemist
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