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DBMS > Amazon DocumentDB vs. Apache Pinot vs. TigerGraph vs. ToroDB

System Properties Comparison Amazon DocumentDB vs. Apache Pinot vs. TigerGraph vs. ToroDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonTigerGraph  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument storeRelational DBMSGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websiteaws.amazon.com/­documentdbpinot.apache.orgwww.tigergraph.comgithub.com/­torodb/­server
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.pinot.apache.orgdocs.tigergraph.com
DeveloperApache Software Foundation and contributors8Kdata
Initial release2019201520172016
Current release1.0.0, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemshostedAll OS with a Java JDK11 or higherLinuxAll OS with a Java 7 VM
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nonono
Secondary indexesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
C++
Java
Server-side scripts infoStored proceduresnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlAccess rights for users and roles

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More resources
Amazon DocumentDBApache PinotTigerGraphToroDB
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