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DBMS > GridGain vs. Hive vs. Quasardb vs. QuestDB

System Properties Comparison GridGain vs. Hive vs. Quasardb vs. QuestDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseA high performance open source SQL database for time series data
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#125  Overall
#25  Key-value stores
#61  Relational DBMS
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score0.11
Rank#310  Overall
#28  Time Series DBMS
Score1.19
Rank#161  Overall
#12  Time Series DBMS
Websitewww.gridgain.comhive.apache.orgquasardb.netquestdb.io
Technical documentationwww.gridgain.com/­docs/­latestcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterquestdb.io/­docs/­introduction
DeveloperGridGain Systems, Inc.Apache Software Foundation infoinitially developed by FacebookquasardbQuestDB Limited
Initial release2007201220092014
Current releaseGridGain 8.5.13.1.2, August 20193.13.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaC++Java
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMBSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.yesnono
Secondary indexesyesyesyes infowith tagsno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsSQL-like query languageSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reducenono
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factorSource-replica replication with selectable replication factorConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infoquery execution via MapReducewith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes infothrough memory mapped files
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and rolesCryptographically strong user authentication and audit trail
More information provided by the system vendor
GridGainHiveQuasardbQuestDB
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
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Relational model with native time series support Column based storage and time partitioned...
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Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
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Real-time data ingestion and istant SQL queries for time series High performance...
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Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
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Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Apache 2.0.
» more
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More resources
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