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DBMS > Apache Pinot vs. Blazegraph vs. GigaSpaces vs. Qdrant vs. SWC-DB

System Properties Comparison Apache Pinot vs. Blazegraph vs. GigaSpaces vs. Qdrant vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBlazegraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonQdrant  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high-performance vector database with neural network or semantic-based matchingA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSGraph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Vector DBMSWide column store
Secondary database modelsGraph DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitepinot.apache.orgblazegraph.comwww.gigaspaces.comgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.pinot.apache.orgwiki.blazegraph.comdocs.gigaspaces.com/­latest/­landing.htmlqdrant.tech/­documentation
DeveloperApache Software Foundation and contributorsBlazegraphGigaspaces TechnologiesQdrantAlex Kashirin
Initial release20152006200020212020
Current release1.0.0, September 20232.1.5, March 201915.5, September 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetRustC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
Linux
macOS
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesNumbers, Strings, Geo, 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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageSQL-99 for query and DML statementsnoSQL-like query language
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol
Thrift
Supported programming languagesGo
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Server-side scripts infoStored proceduresyesyesno
Triggersnoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role-based access controlKey-based authentication

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More resources
Apache PinotBlazegraphGigaSpacesQdrantSWC-DB infoSuper Wide Column Database
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