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DBMS > Databricks vs. EXASOL vs. TerminusDB vs. ToroDB

System Properties Comparison Databricks vs. EXASOL vs. TerminusDB vs. ToroDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMSDocument store
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.databricks.comwww.exasol.comterminusdb.comgithub.com/­torodb/­server
Technical documentationdocs.databricks.comwww.exasol.com/­resourcesterminusdb.github.io/­terminusdb/­#
DeveloperDatabricksExasolDataChemist Ltd.8Kdata
Initial release2013200020182016
Current release11.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageProlog, RustJava
Server operating systemshostedLinuxAll OS with a Java 7 VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesyes
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesJournaling StreamsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole-based access controlAccess rights for users and roles
More information provided by the system vendor
DatabricksEXASOLTerminusDB infoformer name was DataChemistToroDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEXASOLTerminusDB infoformer name was DataChemistToroDB
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