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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAltibase  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAn enterprise grade, high-performance RDBMSOpen-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 relationships
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSGraph 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
Score1.07
Rank#186  Overall
#87  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
Websitewww.4d.comaltibase.comdruid.apache.orgcloud.google.com/­spannerterminusdb.com
Technical documentationdeveloper.4d.comgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docsterminusdb.github.io/­terminusdb/­#
Developer4D, IncAltibaseApache Software Foundation and contributorsGoogleDataChemist Ltd.
Initial release19841999201220172018
Current releasev20, April 2023v7.3, 2023, August 202329.0.1, April 202411.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercial infoOpen source edition discontinued with March 2023Open Source infoApache license v2commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaProlog, Rust
Server operating systemsOS X
Windows
AIX
HP-UX
Linux
Linux
OS X
Unix
hostedLinux
Data schemeyesyesyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92ANSI SQL-92SQL for queryingyes infoQuery statements complying to ANSI 2011SQL-like query language (WOQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Proprietary protocol
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)
Supported programming languages4D proprietary IDE
PHP
C
C++
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresyesstored procedures and stored functionsnonoyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infomanual/auto, time-basedShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes, via HDFS, S3 or other storage enginesMulti-source replication with 3 replicas for regional instances.Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardRBAC 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 DimensionAltibaseApache DruidGoogle Cloud SpannerTerminusDB infoformer name was DataChemist
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