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DBMS > Apache Druid vs. EventStoreDB vs. Google Cloud Spanner vs. RDFox

System Properties Comparison Apache Druid vs. EventStoreDB vs. Google Cloud Spanner vs. RDFox

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIndustrial-strength, open-source database solution built from the ground up for event sourcing.A 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.High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMS
Time Series DBMS
Event StoreRelational DBMSGraph DBMS
RDF store
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
Score1.19
Rank#173  Overall
#1  Event Stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitedruid.apache.orgwww.eventstore.comcloud.google.com/­spannerwww.oxfordsemantic.tech
Technical documentationdruid.apache.org/­docs/­latest/­designdevelopers.eventstore.comcloud.google.com/­spanner/­docsdocs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsEvent Store LimitedGoogleOxford Semantic Technologies
Initial release2012201220172017
Current release29.0.1, April 202421.2, February 20216.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
Linux
Windows
hostedLinux
macOS
Windows
Data schemeyes infoschema-less columns are supportedyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL for queryingyes infoQuery statements complying to ANSI 2011no
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
RESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding
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.replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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)Roles, resources, and access types

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More resources
Apache DruidEventStoreDBGoogle Cloud SpannerRDFox
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