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DBMS > Databricks vs. EventStoreDB vs. TerminusDB

System Properties Comparison Databricks vs. EventStoreDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEventStoreDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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.Industrial-strength, open-source database solution built from the ground up for event sourcing.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Relational DBMS
Event StoreGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.databricks.comwww.eventstore.comterminusdb.com
Technical documentationdocs.databricks.comdevelopers.eventstore.comterminusdb.github.io/­terminusdb/­#
DeveloperDatabricksEvent Store LimitedDataChemist Ltd.
Initial release201320122018
Current release21.2, February 202111.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageProlog, Rust
Server operating systemshostedLinux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes
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.yesno
Secondary indexesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesPython
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRole-based access control
More information provided by the system vendor
DatabricksEventStoreDBTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEventStoreDBTerminusDB infoformer name was DataChemist
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