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DBMS > AgensGraph vs. Badger vs. Datastax Enterprise vs. HEAVY.AI

System Properties Comparison AgensGraph vs. Badger vs. Datastax Enterprise vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBadger  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelGraph DBMS
Relational DBMS
Key-value storeWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­dgraph-io/­badgerwww.datastax.com/­products/­datastax-enterprisegithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationbitnine.net/­documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datastax.comdocs.heavy.ai
DeveloperBitnine Global Inc.DGraph LabsDataStaxHEAVY.AI, Inc.
Initial release2016201720112016
Current release2.1, December 20186.8, April 20205.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageCGoJavaC++ and CUDA
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
Data schemedepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements (CQL); Spark SQLyes
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
Thrift
Vega
Supported programming languagesC
Java
JavaScript
Python
GoC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesnonono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneSharding infono "single point of failure"Sharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsno
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphBadgerDatastax EnterpriseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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AgensGraphBadgerDatastax EnterpriseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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