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DBMS > Databricks vs. GridGain vs. TerminusDB

System Properties Comparison Databricks vs. GridGain vs. TerminusDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGridGain  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.GridGain is an in-memory computing platform, built on Apache IgniteScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Graph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.33
Rank#19  Overall
#3  Document stores
#13  Relational DBMS
Score2.41
Rank#129  Overall
#26  Key-value stores
#63  Relational DBMS
Score0.34
Rank#315  Overall
#31  Graph DBMS
Websitedatabricks.comwww.gridgain.comterminusdb.com
Technical documentationdatabricks.com/­documentationwww.gridgain.com/­docs/­latestterminusdb.github.io/­terminusdb/­#
DeveloperDatabricksGridGain Systems, Inc.DataChemist Ltd.
Initial release201320072018
Current releaseGridGain 8.5.110.1.4, August 2022
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetProlog, Rust
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes
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.yesyesno
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)yes
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access control

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More resources
DatabricksGridGainTerminusDB infoformer name was DataChemist
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