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DBMS > LeanXcale vs. Lovefield vs. Sadas Engine vs. ToroDB

System Properties Comparison LeanXcale vs. Lovefield vs. Sadas Engine vs. ToroDB

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonLovefield  Xexclude from comparisonSadas Engine  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable relational database for web apps written in pure JavaScriptSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.leanxcale.comgoogle.github.io/­lovefieldwww.sadasengine.comgithub.com/­torodb/­server
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperLeanXcaleGoogleSADAS s.r.l.8Kdata
Initial release2015201420062016
Current release2.1.12, February 20178.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree trial version availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
Linux
Windows
All OS with a Java 7 VM
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, boolean, date, object_id
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 indexesyesyes
SQL infoSupport of SQLyes infothrough Apache DerbySQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
Java
Scala
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnono
TriggersUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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