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DBMS > Badger vs. EsgynDB vs. Google Cloud Bigtable vs. JanusGraph vs. OpenEdge

System Properties Comparison Badger vs. EsgynDB vs. Google Cloud Bigtable vs. JanusGraph vs. OpenEdge

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Application development environment with integrated database management system
Primary database modelKey-value storeRelational DBMSKey-value store
Wide column store
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.esgyn.cncloud.google.com/­bigtablejanusgraph.orgwww.progress.com/­openedge
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­bigtable/­docsdocs.janusgraph.orgdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperDGraph LabsEsgynGoogleLinux Foundation; originally developed as Titan by AureliusProgress Software Corporation
Initial release20172015201520171984
Current release0.6.3, February 2023OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, JavaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nonononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesnonoyes infoclose to SQL 92
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Supported programming languagesGoAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)User authentification and security via Rexster Graph ServerUsers and groups

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More resources
BadgerEsgynDBGoogle Cloud BigtableJanusGraph infosuccessor of TitanOpenEdge
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