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DBMS > AgensGraph vs. Datomic vs. Google Cloud Firestore vs. Oracle Berkeley DB

System Properties Comparison AgensGraph vs. Datomic vs. Google Cloud Firestore vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Widely used in-process key-value store
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitebitnine.net/­agensgraphwww.datomic.comfirebase.google.com/­products/­firestorewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationbitnine.net/­documentationdocs.datomic.comfirebase.google.com/­docs/­firestoredocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperBitnine Global Inc.CognitectGoogleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2016201220171994
Current release2.1, December 20181.0.6735, June 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infolimited edition freecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ClojureC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemedepending on used data modelyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Clojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyes, Firebase Rules & Cloud Functionsno
TriggersnoBy using transaction functionsyes, with Cloud Functionsyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
AgensGraphDatomicGoogle Cloud FirestoreOracle Berkeley DB
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