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DBMS > Apache Druid vs. ArcadeDB vs. Brytlyt vs. EDB Postgres vs. GeoMesa

System Properties Comparison Apache Druid vs. ArcadeDB vs. Brytlyt vs. EDB Postgres vs. GeoMesa

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonArcadeDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonEDB Postgres  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websitedruid.apache.orgarcadedb.combrytlyt.iowww.enterprisedb.comwww.geomesa.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.arcadedb.comdocs.brytlyt.iowww.enterprisedb.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperApache Software Foundation and contributorsArcade DataBrytlytEnterpriseDBCCRi and others
Initial release20122021201620052014
Current release29.0.1, April 2024September 20215.0, August 202314, December 20215.0.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercialcommercial infoBSD for PostgreSQL-componentsOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++ and CUDACScala
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
OS X
Windows
Linux
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query language, no joinsyesyes infostandard with numerous extensionsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning infoby hash, list or rangedepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replicationMulti-source replicationdepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on storage layer
Foreign keys infoReferential integritynoyes inforelationship in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.nonodepending on storage layer
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storage

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More resources
Apache DruidArcadeDBBrytlytEDB PostgresGeoMesa
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