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DBMS > DolphinDB vs. Firebase Realtime Database vs. H2 vs. TypeDB

System Properties Comparison DolphinDB vs. Firebase Realtime Database vs. H2 vs. TypeDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Cloud-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.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSDocument storeRelational DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score15.07
Rank#38  Overall
#6  Document stores
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score1.01
Rank#202  Overall
#19  Graph DBMS
#92  Relational DBMS
Websitewww.dolphindb.comfirebase.google.com/­products/­realtime-databasewww.h2database.comtypedb.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmltypedb.com/­docs
DeveloperDolphinDB, IncGoogle infoacquired by Google 2014Thomas MuellerVaticle
Initial release2018201220052016
Current releasev2.00.4, January 20222.2.220, July 20232.26.3, January 2024
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinux
Windows
hostedAll OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java
JavaScript
Objective-C
JavaAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'Java Stored Procedures and User-Defined Functionsno
TriggersnoCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesno
User concepts infoAccess controlAdministrators, Users, Groupsyes, based on authentication and database rulesfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
DolphinDBFirebase Realtime DatabaseH2TypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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DolphinDBFirebase Realtime DatabaseH2TypeDB infoformerly named Grakn
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