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DBMS > AlaSQL vs. AnzoGraph DB vs. Google Cloud Firestore vs. IBM Db2 Event Store

System Properties Comparison AlaSQL vs. AnzoGraph DB vs. Google Cloud Firestore vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCloud 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.Distributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Document storeEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitealasql.orgcambridgesemantics.com/­anzographfirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-store
Technical documentationgithub.com/­AlaSQL/­alasqldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-store
DeveloperAndrey Gershun & Mathias R. WulffCambridge SemanticsGoogleIBM
Initial release2014201820172017
Current release2.3, January 20212.0
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree trial version availablecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC and C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxhostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnonoyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL and SPARQL* as primary query language. Cypher preview.noyes infothrough the embedded Spark runtime
APIs and other access methodsJavaScript APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaScriptC++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes, Firebase Rules & Cloud Functionsyes
Triggersyesnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication in MPP-ClusterMulti-source replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
AlaSQLAnzoGraph DBGoogle Cloud FirestoreIBM Db2 Event Store
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