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DBMS > GridGain vs. Quasardb vs. QuestDB vs. YottaDB

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

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDistributed, high-performance timeseries databaseA high performance open source SQL database for time series dataA fast and solid embedded Key-value store
Primary database modelKey-value store
Relational DBMS
Time Series DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.gridgain.comquasar.aiquestdb.ioyottadb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldoc.quasar.ai/­masterquestdb.io/­docsyottadb.com/­resources/­documentation
DeveloperGridGain Systems, Inc.quasardbQuestDB Technology IncYottaDB, LLC
Initial release2007200920142001
Current releaseGridGain 8.5.13.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoAGPL 3.0
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++, .NetC++Java (Zero-GC), C++, RustC
Server operating systemsLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Windows
Docker
Linux
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesno
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.yesnonono
Secondary indexesyesyes infowith tagsnono
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL with time-series extensionsby using the Octo plugin
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.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
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication with selectable replication factorSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)with Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
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 filesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trailUsers and groups based on OS-security mechanisms
More information provided by the system vendor
GridGainQuasardbQuestDBYottaDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
GridGainQuasardbQuestDBYottaDB
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