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DBMS > Apache Druid vs. Linter vs. ObjectBox vs. TerminusDB vs. Vertica

System Properties Comparison Apache Druid vs. Linter vs. ObjectBox vs. TerminusDB vs. Vertica

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonLinter  Xexclude from comparisonObjectBox  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataRDBMS for high security requirementsExtremely fast embedded database for small devices, IoT and MobileScalable 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 DBMS
Time Series DBMS
Relational DBMSObject oriented DBMSGraph DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMSTime Series DBMSDocument store
RDF store
Spatial DBMS
Time Series 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
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitedruid.apache.orglinter.ruobjectbox.ioterminusdb.comwww.vertica.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.objectbox.ioterminusdb.github.io/­terminusdb/­#vertica.com/­documentation
DeveloperApache Software Foundation and contributorsrelex.ruObjectBox LimitedDataChemist Ltd.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release20121990201720182005
Current release29.0.1, April 202411.0.0, January 202312.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache License 2.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C and C++Prolog, RustC++
Server operating systemsLinux
OS X
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Android
iOS
Linux
macOS
Windows
LinuxLinux
Data schemeyes infoschema-less columns are supportedyesyesyesYes, 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 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.nonononono
Secondary indexesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL for queryingyesnoSQL-like query language (WOQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary native APIOWL
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 languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLnoyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesnoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenoneGraph Partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationonline/offline synchronization between client and serverJournaling 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 methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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 controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardyesRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache DruidLinterObjectBoxTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more
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