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DBMS > Apache Pinot vs. BigchainDB vs. Firebase Realtime Database vs. HugeGraph vs. RDFox

System Properties Comparison Apache Pinot vs. BigchainDB vs. Firebase Realtime Database vs. HugeGraph vs. RDFox

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHugeGraph  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A fast-speed and highly-scalable Graph DBMSHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument storeDocument storeGraph DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitepinot.apache.orgwww.bigchaindb.comfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
www.oxfordsemantic.tech
Technical documentationdocs.pinot.apache.orgbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasehugegraph.apache.org/­docsdocs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014BaiduOxford Semantic Technologies
Initial release20152016201220182017
Current release1.0.0, September 20230.96.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinuxhostedLinux
macOS
Unix
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonono
Secondary indexesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like query languagenononono
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
Groovy
Java
Python
C
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'asynchronous Gremlin script jobs
TriggersCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBasereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesyes, based on authentication and database rulesUsers, roles and permissionsRoles, resources, and access types

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Apache PinotBigchainDBFirebase Realtime DatabaseHugeGraphRDFox
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