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DBMS > Pinecone vs. RavenDB vs. TimescaleDB vs. VoltDB

System Properties Comparison Pinecone vs. RavenDB vs. TimescaleDB vs. VoltDB

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonRavenDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelVector DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.pinecone.ioravendb.netwww.timescale.comwww.voltdb.com
Technical documentationdocs.pinecone.io/­docs/­overviewravendb.net/­docsdocs.timescale.comdocs.voltdb.com
DeveloperPinecone Systems, IncHibernating RhinosTimescaleVoltDB Inc.
Initial release2019201020172010
Current release5.4, July 20222.13.0, November 202311.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CJava, C++
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateString, Number, Booleannonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)yes infofull PostgreSQL SQL syntaxyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesPython.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellJava
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAuthorization levels configured per client per databasefine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
PineconeRavenDBTimescaleDBVoltDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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