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DBMS > AnzoGraph DB vs. Badger vs. Graph Engine vs. Heroic vs. Microsoft Azure Synapse Analytics

System Properties Comparison AnzoGraph DB vs. Badger vs. Graph Engine vs. Heroic vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBadger  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelGraph DBMS
RDF store
Key-value storeGraph DBMS
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­dgraph-io/­badgerwww.graphengine.iogithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgodoc.org/­github.com/­dgraph-io/­badgerwww.graphengine.io/­docs/­manualspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCambridge SemanticsDGraph LabsMicrosoftSpotifyMicrosoft
Initial release20182017201020142016
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo.NET and CJavaC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
.NEThosted
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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
Secondary indexesnonoyes infovia Elasticsearchyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Python
GoC#
C++
F#
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnoTransact SQL
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonehorizontal partitioningShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users and rolesnoyes

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More resources
AnzoGraph DBBadgerGraph Engine infoformer name: TrinityHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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