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DBMS > EsgynDB vs. HugeGraph vs. Kyligence Enterprise vs. SingleStore

System Properties Comparison EsgynDB vs. HugeGraph vs. Kyligence Enterprise vs. SingleStore

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fast-speed and highly-scalable Graph DBMSA distributed analytics engine for big data, built on top of Apache KylinMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Websitewww.esgyn.cngithub.com/­hugegraph
hugegraph.apache.org
kyligence.io/­kyligence-enterprisewww.singlestore.com
Technical documentationhugegraph.apache.org/­docsdocs.singlestore.com
DeveloperEsgynBaiduKyligence, Inc.SingleStore Inc.
Initial release2015201820162013
Current release0.98.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++, JavaJavaJavaC++, Go
Server operating systemsLinuxLinux
macOS
Unix
LinuxLinux info64 bit version required
Data schemeyesyesyesyes
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.nononono
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesnoANSI SQL for queries (using Apache Calcite)yes infobut no triggers and foreign keys
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresasynchronous Gremlin script jobsyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparkyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
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-standardUsers, roles and permissionsFine grained access control via users, groups and roles
More information provided by the system vendor
EsgynDBHugeGraphKyligence EnterpriseSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
EsgynDBHugeGraphKyligence EnterpriseSingleStore infoformer name was MemSQL
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