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DBMS > ObjectBox vs. Oracle Rdb vs. Vertica vs. Warp 10

System Properties Comparison ObjectBox vs. Oracle Rdb vs. Vertica vs. Warp 10

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonOracle Rdb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileCloud 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.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelObject oriented DBMSRelational DBMSRelational DBMS infoColumn orientedTime Series DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteobjectbox.iowww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.vertica.comwww.warp10.io
Technical documentationdocs.objectbox.iowww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlvertica.com/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperObjectBox LimitedOracle, originally developed by Digital Equipment Corporation (DEC)OpenText infopreviously Micro Focus and Hewlett PackardSenX
Initial release2017198420052015
Current release7.4.1.1, 202112.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infoLimited community edition freeOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Java
Server operating systemsAndroid
iOS
Linux
macOS
Windows
HP Open VMSLinuxLinux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)Yes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schema-free
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.nononono
Secondary indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.no
SQL infoSupport of SQLnoyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methodsProprietary native APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, PostgreSQL PL/pgSQL, with minor differencesyes infoWarpScript
Triggersnoyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, hierarchical partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
ObjectBoxOracle RdbVertica infoOpenText™ Vertica™Warp 10
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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