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DBMS > Badger vs. CrateDB vs. EsgynDB vs. NuoDB vs. Yaacomo

System Properties Comparison Badger vs. CrateDB vs. EsgynDB vs. NuoDB vs. Yaacomo

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCrateDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonNuoDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed Database based on LuceneEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score0.87
Rank#201  Overall
#94  Relational DBMS
Websitegithub.com/­dgraph-io/­badgercratedb.comwww.esgyn.cnwww.3ds.com/­nuodb-distributed-sql-databaseyaacomo.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercratedb.com/­docsdoc.nuodb.com
DeveloperDGraph LabsCrateEsgynDassault Systèmes infooriginally NuoDB, Inc.Q2WEB GmbH
Initial release20172013201520132009
Current release5.8.1, August 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Sourcecommercialcommercial infolimited edition freecommercial
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 languageGoJavaC++, JavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilityyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions (Javascript)Java Stored ProceduresJava, SQL
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelMulti-source replication between multi datacentersyes infoManaged transparently by NuoDBSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoTemporary tableyes
User concepts infoAccess controlnorights management via user accountsfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standard

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More resources
BadgerCrateDBEsgynDBNuoDBYaacomo
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