DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > EsgynDB vs. LeanXcale vs. OrientDB

System Properties Comparison EsgynDB vs. LeanXcale vs. OrientDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonOrientDB  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 capabilitiesMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#292  Overall
#137  Relational DBMS
Score0.17
Rank#297  Overall
#43  Key-value stores
#138  Relational DBMS
Score4.86
Rank#80  Overall
#14  Document stores
#5  Graph DBMS
#12  Key-value stores
Websitewww.esgyn.cnwww.leanxcale.comorientdb.org
Technical documentationwww.orientdb.com/­docs/­last/­index.html
DeveloperEsgynLeanXcaleOrientDB LTD; CallidusCloud; SAP
Initial release201520152010
Current release3.1.9, February 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava
Server operating systemsLinuxAll OS with a Java JDK (>= JDK 6)
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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 indexesyesyes
SQL infoSupport of SQLyesyes infothrough Apache DerbySQL-like query language, no joins
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresJava, Javascript
TriggersnoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardAccess rights for users and roles; record level security configurable
More information provided by the system vendor
EsgynDBLeanXcaleOrientDB
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EsgynDBLeanXcaleOrientDB
DB-Engines blog posts