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DBMS > EJDB vs. FeatureBase vs. LevelDB vs. Microsoft Azure AI Search

System Properties Comparison EJDB vs. FeatureBase vs. LevelDB vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSearch-as-a-service for web and mobile app development
Primary database modelDocument storeRelational DBMSKey-value storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Websitegithub.com/­Softmotions/­ejdbwww.featurebase.comgithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­search
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.featurebase.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftmotionsMolecula and Pilosa Open Source ContributorsGoogleMicrosoft
Initial release2012201720112015
Current release2022, May 20221.23, February 2021V1
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCGoC++
Server operating systemsserver-lessLinux
macOS
Illumos
Linux
OS X
Windows
hosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesnoyes
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.nonono
Secondary indexesnononoyes
SQL infoSupport of SQLnoSQL queriesnono
APIs and other access methodsin-process shared librarygRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnonoyes infousing Azure authentication

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EJDBFeatureBaseLevelDBMicrosoft Azure AI Search
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