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DBMS > AnzoGraph DB vs. Apache Pinot vs. Heroic vs. Riak TS vs. WakandaDB

System Properties Comparison AnzoGraph DB vs. Apache Pinot vs. Heroic vs. Riak TS vs. WakandaDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Pinot  Xexclude from comparisonHeroic  Xexclude from comparisonRiak TS  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitecambridgesemantics.com/­anzographpinot.apache.orggithub.com/­spotify/­heroicwakanda.github.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.pinot.apache.orgspotify.github.io/­heroicwww.tiot.jp/­riak-docs/­riak/­ts/­latestwakanda.github.io/­doc
DeveloperCambridge SemanticsApache Software Foundation and contributorsSpotifyOpen Source, formerly Basho TechnologiesWakanda SAS
Initial release20182015201420152012
Current release2.3, January 20211.0.0, September 20233.0.0, September 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0Open SourceOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangC++, JavaScript
Server operating systemsLinuxAll OS with a Java JDK11 or higherLinux
OS X
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyes infovia Elasticsearchrestricted
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languagenoyes, limitedno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
Native Erlang Interface
RESTful HTTP API
Supported programming languagesC++
Java
Python
Go
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoErlangyes
Triggersnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users and rolesnoyes

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More resources
AnzoGraph DBApache PinotHeroicRiak TSWakandaDB
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