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DBMS > HugeGraph vs. Newts vs. Pinecone vs. Solr vs. Sqrrl

System Properties Comparison HugeGraph vs. Newts vs. Pinecone vs. Solr vs. Sqrrl

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNewts  Xexclude from comparisonPinecone  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSTime Series DBMS based on CassandraA managed, cloud-native vector databaseA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMSTime Series DBMSVector DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
opennms.github.io/­newtswww.pinecone.iosolr.apache.orgsqrrl.com
Technical documentationhugegraph.apache.org/­docsgithub.com/­OpenNMS/­newts/­wikidocs.pinecone.io/­docs/­overviewsolr.apache.org/­resources.html
DeveloperBaiduOpenNMS GroupPinecone Systems, IncApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release20182014201920062012
Current release0.99.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaJava
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesString, 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.nononoyes
Secondary indexesyes infoalso supports composite index and range indexnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnononoSolr Parallel SQL Interfaceno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST
Java API
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGroovy
Java
Python
JavaPython.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoJava pluginsno
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infobased on CassandraShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infobased on Cassandrayesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlUsers, roles and permissionsnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Recent citations in the news

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