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DBMS > Apache Druid vs. Google Cloud Spanner vs. OpenMLDB vs. PostGIS vs. Quasardb

System Properties Comparison Apache Druid vs. Google Cloud Spanner vs. OpenMLDB vs. PostGIS vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An open-source machine learning database that provides a feature platform for training and inferenceSpatial extension of PostgreSQLDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitedruid.apache.orgcloud.google.com/­spanneropenmldb.aipostgis.netquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docsopenmldb.ai/­docs/­zh/­mainpostgis.net/­documentationdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsGoogle4 Paradigm Inc.quasardb
Initial release20122017202020052009
Current release30.0.0, June 20242024-2 February 20243.4.2, February 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen SourceOpen Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, ScalaCC++
Server operating systemsLinux
OS X
Unix
hostedLinuxBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesFixed schemayesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.nononoyesno
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingyes infoQuery statements complying to ANSI 2011yesyesSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
SQLAlchemy
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardinghorizontal partitioningyes infobased on PostgreSQLSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication with 3 replicas for regional instances.Source-replica replicationyes infobased on PostgreSQLSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes infobased on PostgreSQLCryptographically strong user authentication and audit trail

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More resources
Apache DruidGoogle Cloud SpannerOpenMLDBPostGISQuasardb
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