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DBMS > ArcadeDB vs. Databricks vs. Drizzle vs. Kinetica vs. SpatiaLite

System Properties Comparison ArcadeDB vs. Databricks vs. Drizzle vs. Kinetica vs. SpatiaLite

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonSpatiaLite  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenThe 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsSpatial extension of SQLite
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document store
Relational DBMS
Relational DBMSRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitearcadedb.comwww.databricks.comwww.kinetica.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.arcadedb.comdocs.databricks.comdocs.kinetica.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperArcade DataDatabricksDrizzle project, originally started by Brian AkerKineticaAlessandro Furieri
Initial release20212013200820122008
Current releaseSeptember 20217.2.4, September 20127.1, August 20215.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGNU GPLcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C, C++C++
Server operating systemsAll OS with a Java VMhostedFreeBSD
Linux
OS X
Linuxserver-less
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinswith Databricks SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaPython
R
Scala
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes inforelationship in graphsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelno
More information provided by the system vendor
ArcadeDBDatabricksDrizzleKineticaSpatiaLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
ArcadeDBDatabricksDrizzleKineticaSpatiaLite
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