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DBMS > Apache Druid vs. GridGain vs. Rockset vs. Teradata Aster vs. Tkrzw

System Properties Comparison Apache Druid vs. GridGain vs. Rockset vs. Teradata Aster vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGridGain  Xexclude from comparisonRockset  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore 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 dataGridGain is an in-memory computing platform, built on Apache IgniteA scalable, reliable search and analytics service in the cloud, built on RocksDBPlatform for big data analytics on multistructured data sources and typesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document storeRelational DBMSKey-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitedruid.apache.orgwww.gridgain.comrockset.comdbmx.net/­tkrzw
Technical documentationdruid.apache.org/­docs/­latest/­designwww.gridgain.com/­docs/­index.htmldocs.rockset.com
DeveloperApache Software Foundation and contributorsGridGain Systems, Inc.RocksetTeradataMikio Hirabayashi
Initial release20122007201920052020
Current release29.0.1, April 2024GridGain 8.5.10.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetC++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Solaris
Windows
hostedLinuxLinux
macOS
Data schemeyes infoschema-less columns are supportedyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typingyesno
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.noyesno infoingestion from XML files supportedyes infoin Aster File Storeno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL for queryingANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINsyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noR packagesno
Triggersnoyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes (replicated cache)yesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standardno

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More resources
Apache DruidGridGainRocksetTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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