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DBMS > EsgynDB vs. LeanXcale vs. TinkerGraph vs. Transwarp StellarDB

System Properties Comparison EsgynDB vs. LeanXcale vs. TinkerGraph vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTranswarp StellarDB  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 capabilitiesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSKey-value store
Relational DBMS
Graph DBMSGraph 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
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.esgyn.cnwww.leanxcale.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.transwarp.cn/­en/­product/­stellardb
DeveloperEsgynLeanXcaleTranswarp
Initial release201520152009
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJava
Server operating systemsLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLyesyes infothrough Apache DerbynoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
TinkerPop 3OpenCypher
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Scala
Groovy
Java
Server-side scripts infoStored proceduresJava Stored Proceduresno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes

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More resources
EsgynDBLeanXcaleTinkerGraphTranswarp StellarDB
Recent citations in the news

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune | Amazon Web Services
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12 October 2020, Towards Data Science

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