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DBMS > Geode vs. Ignite vs. QuestDB vs. Sphinx vs. SQL.JS

System Properties Comparison Geode vs. Ignite vs. QuestDB vs. Sphinx vs. SQL.JS

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonIgnite  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesApache 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 dataOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelKey-value storeKey-value store
Relational DBMS
Time Series DBMSSearch engineRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitegeode.apache.orgignite.apache.orgquestdb.iosphinxsearch.comsql.js.org
Technical documentationgeode.apache.org/­docsapacheignite.readme.io/­docsquestdb.io/­docssphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software FoundationQuestDB Technology IncSphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release20022015201420012012
Current release1.1, February 2017Apache Ignite 2.63.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetJava (Zero-GC), C++, RustC++JavaScript
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyesyes
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.noyesnono
Secondary indexesnoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLSQL with time-series extensionsSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolJavaScript API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)nonono
Triggersyes infoCache Event Listenersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)Source-replica replication with eventual consistencynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess rights per client and object definableSecurity Hooks for custom implementationsnono
More information provided by the system vendor
GeodeIgniteQuestDBSphinxSQL.JS
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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