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DBMS > 4D vs. Apache Druid vs. Google Cloud Spanner vs. TerminusDB vs. VictoriaMetrics

System Properties Comparison 4D vs. Apache Druid vs. Google Cloud Spanner vs. TerminusDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-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.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.4d.comdruid.apache.orgcloud.google.com/­spannerterminusdb.comvictoriametrics.com
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docsterminusdb.github.io/­terminusdb/­#docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Developer4D, IncApache Software Foundation and contributorsGoogleDataChemist Ltd.VictoriaMetrics
Initial release19842012201720182018
Current releasev20, April 202329.0.1, April 202411.0.0, January 2023v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaProlog, RustGo
Server operating systemsOS X
Windows
Linux
OS X
Unix
hostedLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes infoschema-less columns are supportedyesyes
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.yesnononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingyes infoQuery statements complying to ANSI 2011SQL-like query language (WOQL)no
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
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
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesMulti-source replication with 3 replicas for regional instances.Journaling StreamsSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoStrict serializable isolationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlUsers and groupsRBAC 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)Role-based access control

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More resources
4D infoformer name: 4th DimensionApache DruidGoogle Cloud SpannerTerminusDB infoformer name was DataChemistVictoriaMetrics
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