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DBMS > AnzoGraph vs. BoltDB vs. RocksDB

System Properties Comparison AnzoGraph vs. BoltDB vs. RocksDB

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Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonBoltDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedAn embedded key-value store for Go.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#271  Overall
#26  Graph DBMS
#16  RDF stores
Score0.45
Rank#209  Overall
#37  Key-value stores
Score2.16
Rank#104  Overall
#19  Key-value stores
Websitewww.anzograph.comgithub.com/­boltdb/­boltrocksdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­facebook/­rocksdb/­wiki
DeveloperCambridge SemanticsFacebook, Inc.
Initial release201820132013
Current release1904.0, April 20196.2.2, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasschema-freeschema-free
Typing infopredefined data types such as float or datenono
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLSPARQL is used as query languagenono
APIs and other access methodsgRPC
OpenCypher
RESTful HTTP API
JDBC
SPARQL
C++ API
Java API
Supported programming languagesC++
Java
GoC++
Java
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnono
More information provided by the system vendor
AnzoGraphBoltDBRocksDB
Specific characteristicsAnzoGraph® is a native, Massively Parallel Processing (MPP) distributed Graph OLAP...
» more
Competitive advantagesMost solutions in the graph database market are geared toward Online Transactional...
» more
Typical application scenariosDevelopers can use AnzoGraph to build and execute data warehouse-style BI analytics,...
» more
Key customersAnzograph has customers in biotech, pharma, financial services and other verticals.
» more
Licensing and pricing modelsPricing is based primarily on number of nodes needed to perform workload. AnzoGraph...
» more

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More resources
AnzoGraphBoltDBRocksDB
Recent citations in the news

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

Cambridge Semantics adds OpenCypher to AnzoGraph
28 March 2019, KMWorld Magazine

Cambridge Semantics Releases 2019 Benchmark Report Showcasing How Graph Analytics Database, AnzoGraph, Complements Graph Transactional Databases
24 January 2019, Business Wire

Cambridge Semantics' AnzoGraph™ Recognized as 2019 'Trend-Setting Product'
18 December 2018, ThomasNet News

Cambridge Semantics Adds OpenCypher to AnzoGraph- Cambridge Semantics…
24 March 2019, Virtual-Strategy Magazine

provided by Google News

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9 September 2019, Indian Columnist

Key-Value Stores Market by top key players like Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore, Aerospike, BoltDB, Couchbase, Memcached, Oracle, DataStax, Infinispan
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