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DBMS > AnzoGraph DB vs. Apache Impala vs. Google Cloud Firestore vs. Graph Engine

System Properties Comparison AnzoGraph DB vs. Apache Impala vs. Google Cloud Firestore vs. Graph Engine

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for HadoopCloud 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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument storeGraph DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Websitecambridgesemantics.com/­anzographimpala.apache.orgfirebase.google.com/­products/­firestorewww.graphengine.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­firestorewww.graphengine.io/­docs/­manual
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleMicrosoft
Initial release2018201320172010
Current release2.3, January 20214.1.0, June 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and C
Server operating systemsLinuxLinuxhosted.NET
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBCGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceyes, Firebase Rules & Cloud Functionsyes
Triggersnonoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReduceUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
AnzoGraph DBApache ImpalaGoogle Cloud FirestoreGraph Engine infoformer name: Trinity
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