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DBMS > EsgynDB vs. LeanXcale vs. RDF4J vs. Snowflake vs. Warp 10

System Properties Comparison EsgynDB vs. LeanXcale vs. RDF4J vs. Snowflake vs. Warp 10

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSnowflake  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Cloud-based data warehousing service for structured and semi-structured dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSKey-value store
Relational DBMS
RDF storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.esgyn.cnwww.leanxcale.comrdf4j.orgwww.snowflake.comwww.warp10.io
Technical documentationrdf4j.org/­documentationdocs.snowflake.net/­manuals/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperEsgynLeanXcaleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Snowflake Computing Inc.SenX
Initial release20152015200420142015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
hostedLinux
OS X
Windows
Data schemeyesyesyes infoRDF Schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyesyes infothrough Apache Derbynoyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
CLI Client
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Scala
Java
PHP
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyesuser defined functionsyes infoWarpScript
Triggersnoyesno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnoneyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API usedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept, user roles and pluggable authenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
EsgynDBLeanXcaleRDF4J infoformerly known as SesameSnowflakeWarp 10
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