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DBMS > AnzoGraph DB vs. Axibase vs. Faircom EDGE vs. STSdb vs. Vertica

System Properties Comparison AnzoGraph DB vs. Axibase vs. Faircom EDGE vs. STSdb vs. Vertica

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAxibase  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time 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
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitecambridgesemantics.com/­anzographaxibase.com/­docs/­atsd/­financewww.faircom.com/­products/­faircom-edgegithub.com/­STSSoft/­STSdb4www.vertica.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlvertica.com/­documentation
DeveloperCambridge SemanticsAxibase CorporationFairCom CorporationSTS Soft SCOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20182013197920112005
Current release2.3, January 202115585V3, October 20204.0.8, September 201512.0.3, January 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infoRestricted, free version availableOpen Source infoGPLv2, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaANSI C, C++C#C++
Server operating systemsLinuxLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
WindowsLinux
Data schemeSchema-free and OWL/RDFS-schema supportyesFlexible Schema (defined schema, partial schema, schema free)yesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyes, ANSI Standard SQL Typesyes infoprimitive types and user defined types (classes)yes
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.nonoyesno
Secondary indexesnonoyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languageyes infoANSI SQL queriesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC++
Java
Python
Go
Java
PHP
Python
R
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes info.Net, JavaScript, C/C++noyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingFile partitioning infoCustomizable business rules for partitioningnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AnzoGraph DBAxibaseFaircom EDGE infoformerly c-treeEDGESTSdbVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
AnzoGraph DBAxibaseFaircom EDGE infoformerly c-treeEDGESTSdbVertica infoOpenText™ Vertica™
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