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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. QuestDB vs. Splice Machine vs. SQLite

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. QuestDB vs. Splice Machine vs. SQLite

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonQuestDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQLite  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA high performance open source SQL database for time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSRelational DBMSRelational 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
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryquestdb.iosplicemachine.comwww.sqlite.org
Technical documentationphoenix.apache.orgquestdb.io/­docssplicemachine.com/­how-it-workswww.sqlite.org/­docs.html
DeveloperApache Software FoundationAtos Convergence CreatorsQuestDB Technology IncSplice MachineDwayne Richard Hipp
Initial release20142016201420142000
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917033.1, March 20213.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoPublic Domain
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 languageJavaJavaJava (Zero-GC), C++, RustJavaC
Server operating systemsLinux
Unix
Windows
LinuxLinux
macOS
Windows
Linux
OS X
Solaris
Windows
server-less
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsyes infoschema-free via InfluxDB Line Protocolyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesoptionalyesyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesnoSQL with time-series extensionsyesyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCLDAPHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoJavano
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionhorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID for single-table writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped filesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Apache PhoenixAtos Standard Common RepositoryQuestDBSplice MachineSQLite
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
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