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DBMS > Graph Engine vs. Pinecone vs. RocksDB vs. Spark SQL

System Properties Comparison Graph Engine vs. Pinecone vs. RocksDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonPinecone  Xexclude from comparisonRocksDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA managed, cloud-native vector databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
Key-value store
Vector DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.graphengine.iowww.pinecone.iorocksdb.orgspark.apache.org/­sql
Technical documentationwww.graphengine.io/­docs/­manualdocs.pinecone.io/­docs/­overviewgithub.com/­facebook/­rocksdb/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftPinecone Systems, IncFacebook, Inc.Apache Software Foundation
Initial release2010201920132014
Current release9.2.1, May 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++Scala
Server operating systems.NEThostedLinuxLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesString, Number, Booleannoyes
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 indexesnono
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIC++ API
Java API
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
PythonC
C++
Go
Java
Perl
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnono

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More resources
Graph Engine infoformer name: TrinityPineconeRocksDBSpark SQL
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