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DBMS > Apache Druid vs. Fujitsu Enterprise Postgres vs. Graph Engine vs. TempoIQ vs. WakandaDB

System Properties Comparison Apache Druid vs. Fujitsu Enterprise Postgres vs. Graph Engine vs. TempoIQ vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineScalable analytics DBMS for sensor data, provided as a service (SaaS)WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMS
Key-value store
Time Series DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitedruid.apache.orgwww.postgresql.fastware.comwww.graphengine.iotempoiq.com (offline)wakanda.github.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.postgresql.fastware.com/­product-manualswww.graphengine.io/­docs/­manualwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMicrosoftTempoIQWakanda SAS
Initial release2012201020122012
Current release29.0.1, April 2024Fujitsu Enterprise Postgres 14, January 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoMIT LicensecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC.NET and CC++, JavaScript
Server operating systemsLinux
OS X
Unix
Linux
Windows
.NETLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeyes
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.nononono
Secondary indexesyesyes
SQL infoSupport of SQLSQL for queryingyesnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIHTTP APIRESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
F#
Visual Basic
C#
Java
JavaScript infoNode.js
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsyesnoyes
Triggersnoyesnoyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedpartitioning by range, list and by hashhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-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
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
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-standardsimple authentication-based access controlyes
More information provided by the system vendor
Apache DruidFujitsu Enterprise PostgresGraph Engine infoformer name: TrinityTempoIQ infoformerly TempoDBWakandaDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Apache DruidFujitsu Enterprise PostgresGraph Engine infoformer name: TrinityTempoIQ infoformerly TempoDBWakandaDB
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