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DBMS > AnzoGraph DB vs. BoltDB vs. etcd vs. eXtremeDB vs. Hive

System Properties Comparison AnzoGraph DB vs. BoltDB vs. etcd vs. eXtremeDB vs. Hive

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBoltDB  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHive  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn embedded key-value store for Go.A distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value storeRelational DBMS
Time Series DBMS
Relational 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
Score0.74
Rank#220  Overall
#31  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­boltdb/­boltetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comhive.apache.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperCambridge SemanticsMcObjectApache Software Foundation infoinitially developed by Facebook
Initial release2018201320012012
Current release2.3, January 20213.4, August 20198.2, 20213.1.3, April 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC and C++Java
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VM
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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 infosupport of XML interfaces available
Secondary indexesnononoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoyes infowith the option: eXtremeSQLSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC++
Java
Python
Go.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyesyes infouser defined functions and integration of map-reduce
Triggersnonoyes, watching key changesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonehorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.yesnonoyes
User concepts infoAccess controlAccess rights for users and rolesnonoAccess rights for users, groups and roles
More information provided by the system vendor
AnzoGraph DBBoltDBetcdeXtremeDBHive
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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AnzoGraph DBBoltDBetcdeXtremeDBHive
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