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DBMS > LeanXcale vs. Pinecone vs. Transbase vs. VelocityDB

System Properties Comparison LeanXcale vs. Pinecone vs. Transbase vs. VelocityDB

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonPinecone  Xexclude from comparisonTransbase  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA managed, cloud-native vector databaseA resource-optimized, high-performance, universally applicable RDBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value store
Relational DBMS
Vector DBMSRelational DBMSGraph DBMS
Object oriented DBMS
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
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.leanxcale.comwww.pinecone.iowww.transaction.de/­en/­products/­transbase.htmlvelocitydb.com
Technical documentationdocs.pinecone.io/­docs/­overviewwww.transaction.de/­en/­products/­transbase/­features.htmlvelocitydb.com/­UserGuide
DeveloperLeanXcalePinecone Systems, IncTransaction Software GmbHVelocityDB Inc
Initial release2015201919872011
Current releaseTransbase 8.3, 20227.x
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C#
Server operating systemshostedFreeBSD
Linux
macOS
Solaris
Windows
Any that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyesyes
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 Derbynoyesno
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
.Net
Supported programming languagesC
Java
Scala
PythonC
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
.Net
Server-side scripts infoStored proceduresyesno
TriggersyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
LeanXcalePineconeTransbaseVelocityDB
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