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DBMS > AnzoGraph DB vs. Apache Impala vs. Dragonfly vs. NuoDB vs. Prometheus

System Properties Comparison AnzoGraph DB vs. Apache Impala vs. Dragonfly vs. NuoDB vs. Prometheus

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonDragonfly  Xexclude from comparisonNuoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for HadoopA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen-source Time Series DBMS and monitoring system
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitecambridgesemantics.com/­anzographimpala.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.3ds.com/­nuodb-distributed-sql-databaseprometheus.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmlwww.dragonflydb.io/­docsdoc.nuodb.comprometheus.io/­docs
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaDragonflyDB team and community contributorsDassault Systèmes infooriginally NuoDB, Inc.
Initial release20182013202320132015
Current release2.3, January 20214.1.0, June 20221.0, March 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoBSL 1.1commercial infolimited edition freeOpen Source infoApache 2.0
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 languageC++C++C++Go
Server operating systemsLinuxLinuxLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesscheme-freeyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesNumeric data only
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 infoImport of XML data possible
Secondary indexesnoyesnoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsnoyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBCC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceLuaJava, SQLno
Triggersnonopublish/subscribe channels provide some trigger functionalityyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorSource-replica replicationyes infoManaged transparently by NuoDByes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityno infonot needed in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of command blocks and scriptsACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes infoMVCCyes
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.yesnoyesyes infoTemporary tableno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPassword-based authenticationStandard SQL roles/ privileges, Administrative Usersno

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More resources
AnzoGraph DBApache ImpalaDragonflyNuoDBPrometheus
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