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DBMS > Apache Druid vs. Google Cloud Spanner vs. Quasardb vs. Rockset vs. SpaceTime

System Properties Comparison Apache Druid vs. Google Cloud Spanner vs. Quasardb vs. Rockset vs. SpaceTime

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonQuasardb  Xexclude from comparisonRockset  Xexclude from comparisonSpaceTime  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.Distributed, high-performance timeseries databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSDocument storeSpatial DBMS
Secondary database modelsRelational DBMS
Search engine
Relational 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
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Websitedruid.apache.orgcloud.google.com/­spannerquasar.airockset.comwww.mireo.com/­spacetime
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docsdoc.quasar.ai/­masterdocs.rockset.com
DeveloperApache Software Foundation and contributorsGooglequasardbRocksetMireo
Initial release20122017200920192020
Current release30.0.0, June 20243.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++
Server operating systemsLinux
OS X
Unix
hostedBSD
Linux
OS X
Windows
hostedLinux
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binarydynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesyesyes infowith tagsall fields are automatically indexedno
SQL infoSupport of SQLSQL for queryingyes infoQuery statements complying to ANSI 2011SQL-like query languageRead-only SQL queries, including JOINsA subset of ANSI SQL is implemented
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
HTTP APIHTTP RESTRESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
C#
C++
Python
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infoconsistent hashingAutomatic shardingFixed-grid hypercubes
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 replication with selectable replication factoryesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowwith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeno
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)Cryptographically strong user authentication and audit trailAccess rights for users and organizations can be defined via Rockset consoleyes

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More resources
Apache DruidGoogle Cloud SpannerQuasardbRocksetSpaceTime
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