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DBMS > AnzoGraph DB vs. EsgynDB vs. H2GIS vs. ScyllaDB

System Properties Comparison AnzoGraph DB vs. EsgynDB vs. H2GIS vs. ScyllaDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEsgynDB  Xexclude from comparisonH2GIS  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial extension of H2Cassandra and DynamoDB compatible wide column store
Primary database modelGraph DBMS
RDF store
Relational DBMSSpatial DBMSWide column store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitecambridgesemantics.com/­anzographwww.esgyn.cnwww.h2gis.orgwww.scylladb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.h2gis.org/­docs/­homedocs.scylladb.com
DeveloperCambridge SemanticsEsgynCNRSScyllaDB
Initial release2018201520132015
Current release2.3, January 2021ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoLGPL 3.0Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++, JavaJavaC++
Server operating systemsLinuxLinuxLinux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-free
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 indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBC/ADO.NetJavaFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresyes infobased on H2yes, Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication between multi datacentersyes infobased on H2selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityno infonot needed in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoin-memory tables
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes infobased on H2Access rights for users can be defined per object
More information provided by the system vendor
AnzoGraph DBEsgynDBH2GISScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
AnzoGraph DBEsgynDBH2GISScyllaDB
Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics
19 June 2020, Solutions Review

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

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13 February 2018, Datanami

ScyllaDB Database Review | eWeek
21 August 2018, eWeek

Scylla vs Cassandra: Performance Comparison - DataScienceCentral.com
9 January 2020, Data Science Central

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18 December 2019, InfoWorld

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