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DBMS > Apache Druid vs. GBase vs. GridGain vs. Hypertable vs. TypeDB

System Properties Comparison Apache Druid vs. GBase vs. GridGain vs. Hypertable vs. TypeDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGBase  Xexclude from comparisonGridGain  Xexclude from comparisonHypertable  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.GridGain is an in-memory computing platform, built on Apache IgniteAn open source BigTable implementation based on distributed file systems such as HadoopTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store
Relational DBMS
Wide column storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
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
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitedruid.apache.orgwww.gbase.cnwww.gridgain.comtypedb.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­index.htmltypedb.com/­docs
DeveloperApache Software Foundation and contributorsGeneral Data Technology Co., Ltd.GridGain Systems, Inc.Hypertable Inc.Vaticle
Initial release20122004200720092016
Current release29.0.1, April 2024GBase 8a, GBase 8s, GBase 8cGridGain 8.5.10.9.8.11, March 20162.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonJava, C++, .NetC++Java
Server operating systemsLinux
OS X
Unix
LinuxLinux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesyesno
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL for queryingStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Thrift
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesyes (replicated cache)selectable replication factor on file system levelMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
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.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesSecurity Hooks for custom implementationsnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Apache DruidGBaseGridGainHypertableTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Apache DruidGBaseGridGainHypertableTypeDB infoformerly named Grakn
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