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DBMS > Apache Druid vs. Apache Phoenix vs. SpatiaLite vs. SurrealDB

System Properties Comparison Apache Druid vs. Apache Phoenix vs. SpatiaLite vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache Phoenix  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA scale-out RDBMS with evolutionary schema built on Apache HBaseSpatial extension of SQLiteA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSpatial DBMSDocument store
Graph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitedruid.apache.orgphoenix.apache.orgwww.gaia-gis.it/­fossil/­libspatialite/­indexsurrealdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designphoenix.apache.orgwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsurrealdb.com/­docs
DeveloperApache Software Foundation and contributorsApache Software FoundationAlessandro FurieriSurrealDB Ltd
Initial release2012201420082022
Current release29.0.1, April 20245.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0.0, August 2020v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Rust
Server operating systemsLinux
OS X
Unix
Linux
Unix
Windows
server-lessLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyes infolate-bound, schema-on-read capabilitiesyesschema-free
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyesSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoyes, based on authentication and database rules

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Apache DruidApache PhoenixSpatiaLiteSurrealDB
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