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DBMS > Memgraph vs. Pinecone vs. Solr vs. YugabyteDB

System Properties Comparison Memgraph vs. Pinecone vs. Solr vs. YugabyteDB

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonPinecone  Xexclude from comparisonSolr  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jA managed, cloud-native vector databaseA widely used distributed, scalable search engine based on Apache LuceneHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelGraph DBMSVector DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitememgraph.comwww.pinecone.iosolr.apache.orgwww.yugabyte.com
Technical documentationmemgraph.com/­docsdocs.pinecone.io/­docs/­overviewsolr.apache.org/­resources.htmldocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdPinecone Systems, IncApache Software FoundationYugabyte Inc.
Initial release2017201920062017
Current release9.6.1, May 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoApache Version 2Open Source infoApache 2.0
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.
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 languageC and C++JavaC and C++
Server operating systemsLinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Data schemeschema-free and schema-optionalyes infoDynamic Fields enables on-the-fly addition of new fieldsdepending on used data model
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes infosupports customizable data types and automatic typingyes
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.nonoyesno
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSolr Parallel SQL Interfaceyes, PostgreSQL compatible
APIs and other access methodsBolt protocol
Cypher query language
RESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
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 languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Python.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresJava pluginsyes infosql, plpgsql, C
Triggersyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyesBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationoptimistic lockingDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlUsers, roles and permissionsyesyes
More information provided by the system vendor
MemgraphPineconeSolrYugabyteDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Systems 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 modelsYou can check out our pricing model and licenses on the company website .
» more
Apache 2.0 license for the database
» more

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MemgraphPineconeSolrYugabyteDB
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