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DBMS > AnzoGraph DB vs. etcd vs. Google Cloud Firestore vs. openGauss vs. TDengine

System Properties Comparison AnzoGraph DB vs. etcd vs. Google Cloud Firestore vs. openGauss vs. TDengine

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonopenGauss  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA 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.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTime Series DBMS and big data platform
Primary database modelGraph DBMS
RDF store
Key-value storeDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score7.05
Rank#53  Overall
#5  Key-value stores
Score6.63
Rank#54  Overall
#9  Document stores
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitecambridgesemantics.com/­anzographetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestoregitee.com/­opengauss
opengauss.org
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestoredocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.tdengine.com
DeveloperCambridge SemanticsGoogleHuawei and openGauss communityTDEngine, previously Taos Data
Initial release2018201720192019
Current release2.3, January 20213.4, August 20193.0, March 20223.0, August 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++, JavaC
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
hostedLinuxLinux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnonoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoANSI SQL 2011Standard SQL with extensions for time-series applications
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
.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
C
C++
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, Firebase Rules & Cloud Functionsyesno
Triggersnoyes, watching key changesyes, with Cloud Functionsyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
AnzoGraph DBetcdGoogle Cloud FirestoreopenGaussTDengine
Specific characteristicsTDengineā„¢ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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