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DBMS > Badger vs. Derby vs. EsgynDB vs. Google Cloud Bigtable vs. Microsoft Azure AI Search

System Properties Comparison Badger vs. Derby vs. EsgynDB vs. Google Cloud Bigtable vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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.Search-as-a-service for web and mobile app development
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
Wide column store
Search engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score5.59
Rank#63  Overall
#7  Search engines
Websitegithub.com/­dgraph-io/­badgerdb.apache.org/­derbywww.esgyn.cncloud.google.com/­bigtableazure.microsoft.com/­en-us/­services/­search
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdb.apache.org/­derby/­manuals/­index.htmlcloud.google.com/­bigtable/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperDGraph LabsApache Software FoundationEsgynGoogleMicrosoft
Initial release20171997201520152015
Current release10.17.1.0, November 2023V1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinuxhostedhosted
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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.noyesnonono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
Supported programming languagesGoJavaAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresJava Stored Proceduresnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authentication

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More resources
BadgerDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBEsgynDBGoogle Cloud BigtableMicrosoft Azure AI Search
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