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DBMS > AgensGraph vs. Badger vs. BigchainDB vs. Hawkular Metrics vs. Spark SQL

System Properties Comparison AgensGraph vs. Badger vs. BigchainDB vs. Hawkular Metrics vs. Spark SQL

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSpark SQL  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.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
Relational DBMS
Key-value storeDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebitnine.net/­agensgraphgithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.hawkular.orgspark.apache.org/­sql
Technical documentationbitnine.net/­documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.hawkular.org/­hawkular-metrics/­docs/­user-guidespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBitnine Global Inc.DGraph LabsCommunity supported by Red HatApache Software Foundation
Initial release20162017201620142014
Current release2.1, December 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache 2.0Open 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 languageCGoPythonJavaScala
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemedepending on used data modelschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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 indexesyesnonono
SQL infoSupport of SQLyesnononoSQL-like DML and DDL statements
APIs and other access methodsCypher Query Language
JDBC
CLI Client
RESTful HTTP API
HTTP RESTJDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
GoGo
Haskell
Java
JavaScript
Python
Ruby
Go
Java
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneselectable replication factorselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesnono

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More resources
AgensGraphBadgerBigchainDBHawkular MetricsSpark SQL
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