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DBMS > 4D vs. Apache Druid vs. Hypertable vs. TerminusDB vs. Vertica

System Properties Comparison 4D vs. Apache Druid vs. Hypertable vs. TerminusDB vs. Vertica

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonHypertable  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn open source BigTable implementation based on distributed file systems such as HadoopScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Wide column storeGraph DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
RDF store
Spatial DBMS
Time Series DBMS
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
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.4d.comdruid.apache.orgterminusdb.comwww.vertica.com
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designterminusdb.github.io/­terminusdb/­#vertica.com/­documentation
Developer4D, IncApache Software Foundation and contributorsHypertable Inc.DataChemist Ltd.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release19842012200920182005
Current releasev20, April 202329.0.1, April 20240.9.8.11, March 201611.0.0, January 202312.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoGNU version 3. Commercial license availableOpen Source infoGPL V3commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Prolog, RustC++
Server operating systemsOS X
Windows
Linux
OS X
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeyesyes infoschema-less columns are supportedschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesnonono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingnoSQL-like query language (WOQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
C++ API
Thrift
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesnonoyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnonoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingGraph Partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesselectable replication factor on file system levelJournaling StreamsMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
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.nonono
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
4D infoformer name: 4th DimensionApache DruidHypertableTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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4D infoformer name: 4th DimensionApache DruidHypertableTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™
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