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DBMS > HugeGraph vs. Pinecone vs. Splunk vs. YDB

System Properties Comparison HugeGraph vs. Pinecone vs. Splunk vs. YDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonPinecone  Xexclude from comparisonSplunk  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA managed, cloud-native vector databaseAnalytics Platform for Big DataA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMSVector DBMSSearch engineDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.pinecone.iowww.splunk.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationhugegraph.apache.org/­docsdocs.pinecone.io/­docs/­overviewdocs.splunk.com/­Documentation/­Splunkydb.tech/­en/­docs
DeveloperBaiduPinecone Systems, IncSplunk Inc.Yandex
Initial release2018201920032019
Current release0.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infoLimited free edition and free developer edition availableOpen Source infoApache 2.0; commercial license available
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.
Implementation languageJava
Server operating systemsLinux
macOS
Unix
hostedLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes
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 infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnonono infoSplunk Search Processing Language for search commandsSQL-like query language (YQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIHTTP RESTRESTful HTTP API (DynamoDB compatible)
Supported programming languagesGroovy
Java
Python
PythonC#
Java
JavaScript
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
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.yesnonono
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and rolesAccess rights defined for Yandex Cloud users

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More resources
HugeGraphPineconeSplunkYDB
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