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DBMS > ObjectBox vs. Oracle NoSQL vs. Sphinx vs. Splice Machine

System Properties Comparison ObjectBox vs. Oracle NoSQL vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileKey-value store based on Berkeley DB Java EditionOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSKey-value storeSearch engineRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.65
Rank#208  Overall
#11  Object oriented DBMS
Score4.17
Rank#79  Overall
#13  Key-value stores
Score6.47
Rank#59  Overall
#7  Search engines
Score0.79
Rank#186  Overall
#91  Relational DBMS
Websiteobjectbox.iowww.oracle.com/­database/­nosql/­index.htmlsphinxsearch.comsplicemachine.com
Technical documentationdocs.objectbox.iodocs.oracle.com/­cd/­NOSQL/­index.htmlsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperObjectBox LimitedOracleSphinx Technologies Inc.Splice Machine
Initial release2017201120012014
Current release19.5, November 20193.2.1, January 20202.0
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache V2 for Community Edition, proprietary license for Enterprise EditionOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC++Java
Server operating systemsAndroid
iOS
Linux
macOS
Windows
Linux
Solaris SPARC/x86
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesoptional, scheme definition possible with AVRO or in 'table-style'yesyes
Typing infopredefined data types such as float or dateyesoptionalnoyes
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.nono
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary native APIRESTful HTTP APIProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C#
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnononoyes infoJava
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverElectable source-replica replication per shardnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDconfigurable infoACID within a storage node (=shard)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyes
User concepts infoAccess controlyesAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ObjectBoxOracle NoSQLSphinxSplice Machine
Specific characteristicsOracle NoSQL Database is a scalable , distributed NoSQL database, designed to provide...
» more
THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesData can be modeled as relational-database-style tables, JSON documents, RDF Triples...
» more
Operational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosInternet of Things where large volume of data needs to be stored and processed very...
» more
New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Key customersLarge credit card company Airbus NTT Docomo Global rewards company
» more
Market metricsOracle NoSQL Database is used by hundreds of companies around the world. Oracle NoSQL...
» more
Licensing and pricing modelsOracle NoSQL Database Enterprise Edition can be purchased under the Oracle Commercial...
» more
Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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