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DBMS > Apache Pinot vs. Firebase Realtime Database vs. H2 vs. Hawkular Metrics vs. MarkLogic

System Properties Comparison Apache Pinot vs. Firebase Realtime Database vs. H2 vs. Hawkular Metrics vs. MarkLogic

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Operational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSDocument storeRelational DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitepinot.apache.orgfirebase.google.com/­products/­realtime-databasewww.h2database.comwww.hawkular.orgwww.progress.com/­marklogic
Technical documentationdocs.pinot.apache.orgfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.progress.com/­marklogic/­documentation
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014Thomas MuellerCommunity supported by Red HatMarkLogic Corp.
Initial release20152012200520142001
Current release1.0.0, September 20232.2.220, July 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsAll OS with a Java JDK11 or higherhostedAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeschema-free infoSchema can be enforced
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.nononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyesnoyes infoSQL92
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP RESTJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesGo
Java
Python
Java
JavaScript
Objective-C
JavaGo
Java
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'Java Stored Procedures and User-Defined Functionsnoyes infovia XQuery or JavaScript
TriggersCallbacks are triggered when data changesyesyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesnoyes, with Range Indexes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardnoRole-based access control at the document and subdocument levels

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More resources
Apache PinotFirebase Realtime DatabaseH2Hawkular MetricsMarkLogic
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