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DBMS > AnzoGraph DB vs. Ehcache vs. etcd vs. Google Cloud Firestore vs. Hawkular Metrics

System Properties Comparison AnzoGraph DB vs. Ehcache vs. etcd vs. Google Cloud Firestore vs. Hawkular Metrics

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEhcache  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA widely adopted Java cache with tiered storage optionsA distributed reliable key-value storeCloud 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.ehcache.orgetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestorewww.hawkular.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ehcache.org/­documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperCambridge SemanticsTerracotta Inc, owned by Software AGGoogleCommunity supported by Red Hat
Initial release2018200920172014
Current release2.3, January 20213.10.0, March 20223.4, August 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
hostedLinux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesnononoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JCachegRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Supported programming languagesC++
Java
Python
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes, Firebase Rules & Cloud Functionsno
Triggersnoyes infoCache Event Listenersyes, watching key changesyes, with Cloud Functionsyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoby using Terracotta ServerShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes infoby using Terracotta ServerUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infonot needed in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
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 and rolesnonoAccess 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
AnzoGraph DBEhcacheetcdGoogle Cloud FirestoreHawkular Metrics
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