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DBMS > Pinecone vs. Riak KV vs. TinkerGraph vs. YugabyteDB

System Properties Comparison Pinecone vs. Riak KV vs. TinkerGraph vs. YugabyteDB

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Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonRiak KV  Xexclude from comparisonTinkerGraph  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA managed, cloud-native vector databaseDistributed, fault tolerant key-value storeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelVector DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesGraph DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitewww.pinecone.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.yugabyte.com
Technical documentationdocs.pinecone.io/­docs/­overviewwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperPinecone Systems, IncOpenSource, formerly Basho TechnologiesYugabyte Inc.
Initial release2019200920092017
Current release3.2.0, December 20222.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageErlangJavaC and C++
Server operating systemshostedLinux
OS X
Linux
OS X
Data schemeschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateString, Number, Booleannoyesyes
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.nononono
Secondary indexesrestrictednoyes
SQL infoSupport of SQLnononoyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
TinkerPop 3JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesPythonC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Groovy
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresErlangnoyes infosql, plpgsql, C
Triggersyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityno infolinks between data sets can be storedyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes, using Riak Securitynoyes
More information provided by the system vendor
PineconeRiak KVTinkerGraphYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
PineconeRiak KVTinkerGraphYugabyteDB
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