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DBMS > EsgynDB vs. GeoSpock vs. KairosDB vs. LevelDB vs. Microsoft Azure Cosmos DB

System Properties Comparison EsgynDB vs. GeoSpock vs. KairosDB vs. LevelDB vs. Microsoft Azure Cosmos DB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonKairosDB  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleDistributed Time Series DBMS based on Cassandra or H2Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#281  Overall
#130  Relational DBMS
Score0.28
Rank#273  Overall
#125  Relational DBMS
Score0.68
Rank#210  Overall
#15  Time Series DBMS
Score3.08
Rank#98  Overall
#16  Key-value stores
Score40.04
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.esgyn.cngeospock.comgithub.com/­kairosdb/­kairosdbgithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.geospock.com/­Content/­Home.htmkairosdb.github.iogithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.microsoft.com/­azure/­cosmos-db
DeveloperEsgynGeoSpockGoogleMicrosoft
Initial release2015201320112014
Current release2.0, September 20191.2.2, November 20181.23, February 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava, JavascriptJavaC++
Server operating systemsLinuxhostedLinux
OS X
Windows
Illumos
Linux
OS X
Windows
hosted
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infoJSON types
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.nononono
Secondary indexesyestemporal, categoricalnonoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)nonoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCGraphite protocol
HTTP REST
Telnet API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
JavaScript infoNode.js
PHP
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresJava Stored ProceduresnononoJavaScript
TriggersnonononoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infobased on CassandranoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor infobased on Cassandranoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tablesimple password-based access controlnoAccess rights can be defined down to the item level

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More resources
EsgynDBGeoSpockKairosDBLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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