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DBMS > Apache Phoenix vs. QuestDB vs. Sphinx vs. SQL.JS vs. WakandaDB

System Properties Comparison Apache Phoenix vs. QuestDB vs. Sphinx vs. SQL.JS vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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 JavaScriptWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSSearch engineRelational DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  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
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitephoenix.apache.orgquestdb.iosphinxsearch.comsql.js.orgwakanda.github.io
Technical documentationphoenix.apache.orgquestdb.io/­docssphinxsearch.com/­docssql.js.org/­documentation/­index.htmlwakanda.github.io/­doc
DeveloperApache Software FoundationQuestDB Technology IncSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersWakanda SAS
Initial release20142014200120122012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen SourceOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava (Zero-GC), C++, RustC++JavaScriptC++, JavaScript
Server operating systemsLinux
Unix
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyes infoschema-free via InfluxDB Line Protocolyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL with time-series extensionsSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBCHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolJavaScript APIRESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
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
JavaScriptJavaScript
Server-side scripts infoStored proceduresuser defined functionsnononoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencynonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynonoyes
More information provided by the system vendor
Apache PhoenixQuestDBSphinxSQL.JSWakandaDB
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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