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DBMS > EsgynDB vs. LevelDB vs. Microsoft Azure Cosmos DB vs. SAP HANA

System Properties Comparison EsgynDB vs. LevelDB vs. Microsoft Azure Cosmos DB vs. SAP HANA

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database serviceIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#279  Overall
#128  Relational DBMS
Score2.90
Rank#98  Overall
#17  Key-value stores
Score40.29
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score55.28
Rank#20  Overall
#13  Relational DBMS
Websitewww.esgyn.cngithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-dbwww.sap.com/­products/­hana.html
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.microsoft.com/­azure/­cosmos-dbhelp.sap.com/­hana
DeveloperEsgynGoogleMicrosoftSAP
Initial release2015201120142010
Current release1.23, February 20212.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++
Server operating systemsLinuxIllumos
Linux
OS X
Windows
hostedAppliance or cloud-service
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyes
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 indexesyesnoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLyesnoSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
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 ProceduresnoJavaScriptSQLScript, R
TriggersnonoJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnoneyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights can be defined down to the item levelyes

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More resources
EsgynDBLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSAP HANA
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