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DBMS > EJDB vs. LeanXcale vs. Newts vs. TimesTen

System Properties Comparison EJDB vs. LeanXcale vs. Newts vs. TimesTen

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonNewts  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTime Series DBMS based on CassandraIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#277  Overall
#39  Document stores
Score0.23
Rank#283  Overall
#42  Key-value stores
#131  Relational DBMS
Score0.00
Rank#358  Overall
#36  Time Series DBMS
Score1.81
Rank#129  Overall
#64  Relational DBMS
Websiteejdb.orgwww.leanxcale.comopennms.github.io/­newtswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­database/­timesten-18.1
DeveloperSoftmotionsLeanXcaleOpenNMS GroupOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201520141998
Current release11 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0commercial
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 languageCJava
Server operating systemsserver-lessLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyes
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 indexesnonoyes
SQL infoSupport of SQLnoyes infothrough Apache Derbynoyes
APIs and other access methodsin-process shared libraryJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Scala
JavaC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoPL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard
More information provided by the system vendor
EJDBLeanXcaleNewtsTimesTen
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

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More resources
EJDBLeanXcaleNewtsTimesTen
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