DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > LeanXcale vs. mSQL vs. OrigoDB vs. Pinecone vs. Sadas Engine

System Properties Comparison LeanXcale vs. mSQL vs. OrigoDB vs. Pinecone vs. Sadas Engine

Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonPinecone  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseA managed, cloud-native vector databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument store
Object oriented DBMS
Vector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitewww.leanxcale.comhughestech.com.au/­products/­msqlorigodb.comwww.pinecone.iowww.sadasengine.com
Technical documentationorigodb.com/­docsdocs.pinecone.io/­docs/­overviewwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperLeanXcaleHughes TechnologiesRobert Friberg et alPinecone Systems, IncSADAS s.r.l.
Initial release201519942009 infounder the name LiveDB20192006
Current release4.4, October 20218.0
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Sourcecommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC#C++
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
hostedAIX
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsString, Number, Booleanyes
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 infocan be achieved using .NETnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnonoyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.NetPython.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnoRole based authorizationAccess rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

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
LeanXcalemSQL infoMini SQLOrigoDBPineconeSadas Engine
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

show all

Recent citations in the news

Higher Education PS rules out ghost students before PAC
29 November 2018, diggers.news

provided by Google News

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

AWS Marketplace: Pinecone Vector Database - Annual Commit Comments
4 June 2024, AWS Blog

Pinecone launches serverless edition of its vector database on AWS
22 May 2024, SiliconANGLE News

Pinecone’s new serverless database may see few takers, analysts say
17 January 2024, InfoWorld

Pinecone Makes Accurate, Fast, Scalable Generative AI Accessible to Organizations Large and Small with Launch of ...
21 May 2024, PR Newswire

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here