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DBMS > EXASOL vs. Firebase Realtime Database vs. Graph Engine vs. JaguarDB vs. TypeDB

System Properties Comparison EXASOL vs. Firebase Realtime Database vs. Graph Engine vs. JaguarDB vs. TypeDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonJaguarDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginePerformant, highly scalable DBMS for AI and IoT applicationsTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSDocument storeGraph DBMS
Key-value store
Key-value store
Vector DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitewww.exasol.comfirebase.google.com/­products/­realtime-databasewww.graphengine.iowww.jaguardb.comtypedb.com
Technical documentationwww.exasol.com/­resourcesfirebase.google.com/­docs/­databasewww.graphengine.io/­docs/­manualwww.jaguardb.com/­support.htmltypedb.com/­docs
DeveloperExasolGoogle infoacquired by Google 2014MicrosoftDataJaguar, Inc.Vaticle
Initial release20002012201020152016
Current release3.3 July 20232.26.3, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoGPL V3.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++ infothe server part. Clients available in other languagesJava
Server operating systemshosted.NETLinuxLinux
OS X
Windows
Data schemeyesschema-freeyesyesyes
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesJava
Lua
Python
R
Java
JavaScript
Objective-C
C#
C++
F#
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'yesnono
TriggersyesCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonoyes 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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyes, based on authentication and database rulesrights management via user accountsyes infoat REST API level; other APIs in progress
More information provided by the system vendor
EXASOLFirebase Realtime DatabaseGraph Engine infoformer name: TrinityJaguarDBTypeDB 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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More resources
EXASOLFirebase Realtime DatabaseGraph Engine infoformer name: TrinityJaguarDBTypeDB infoformerly named Grakn
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