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DBMS > atoti vs. FeatureBase vs. Linter vs. Pinecone

System Properties Comparison atoti vs. FeatureBase vs. Linter vs. Pinecone

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFeatureBase  Xexclude from comparisonLinter  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.RDBMS for high security requirementsA managed, cloud-native vector database
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websiteatoti.iowww.featurebase.comlinter.ruwww.pinecone.io
Technical documentationdocs.atoti.iodocs.featurebase.comdocs.pinecone.io/­docs/­overview
DeveloperActiveViamMolecula and Pilosa Open Source Contributorsrelex.ruPinecone Systems, Inc
Initial release201719902019
Current release2022, May 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC and C++
Server operating systemsLinux
macOS
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesString, Number, Boolean
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 indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL queriesyesno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesJava
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Python
Server-side scripts infoStored proceduresPythonyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
atotiFeatureBaseLinterPinecone
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