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DBMS > AgensGraph vs. EsgynDB vs. ITTIA vs. LeanXcale

System Properties Comparison AgensGraph vs. EsgynDB vs. ITTIA vs. LeanXcale

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonITTIA  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEdge Time Series DBMS with Real-Time Stream ProcessingA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSTime Series DBMSKey-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitebitnine.net/­agensgraphwww.esgyn.cnwww.ittia.comwww.leanxcale.com
Technical documentationbitnine.net/­documentation
DeveloperBitnine Global Inc.EsgynITTIA L.L.C.LeanXcale
Initial release2016201520072015
Current release2.1, December 20188.7
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercial
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.
Implementation languageCC++, JavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Data schemedepending on used data modelyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval
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 indexesyesyesyes
SQL infoSupport of SQLyesyesyesyes infothrough Apache Derby
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.NetC
C++
JavaScript (Node.js)
Python
C
Java
Scala
Server-side scripts infoStored proceduresyesJava Stored Proceduresyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardDatabase file passwords

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More resources
AgensGraphEsgynDBITTIALeanXcale
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