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DBMS > GridGain vs. gStore vs. Ignite vs. QuestDB

System Properties Comparison GridGain vs. gStore vs. Ignite vs. QuestDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisongStore  Xexclude from comparisonIgnite  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA native Graph DBMS to store and maintain very large RDF datasets.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A high performance open source SQL database for time series data
Primary database modelKey-value store
Relational DBMS
Graph DBMS
RDF store
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitewww.gridgain.comen.gstore.cnignite.apache.orgquestdb.io
Technical documentationwww.gridgain.com/­docs/­index.htmlen.gstore.cn/­#/­enDocsapacheignite.readme.io/­docsquestdb.io/­docs
DeveloperGridGain Systems, Inc.Apache Software FoundationQuestDB Technology Inc
Initial release2007201620152014
Current releaseGridGain 8.5.11.2, November 2023Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C++, Java, .NetJava (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoANSI-99 for query and DML statements, subset of DDLSQL with time-series extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
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)yesyes (compute grid and cache interceptors can be used instead)no
Triggersyes (cache interceptors and events)yes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes (replicated cache)Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes (compute grid and hadoop accelerator)no
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 dataACIDyesACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infothrough memory mapped files
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissions, Role-Based Access Control (RBAC) supportedSecurity Hooks for custom implementations
More information provided by the system vendor
GridGaingStoreIgniteQuestDB
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridGaingStoreIgniteQuestDB
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