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DBMS > GridGain vs. LeanXcale vs. Manticore Search vs. NebulaGraph

System Properties Comparison GridGain vs. LeanXcale vs. Manticore Search vs. NebulaGraph

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLeanXcale  Xexclude from comparisonManticore Search  Xexclude from comparisonNebulaGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMulti-storage database for search, including full-text search.A distributed, linear scalable, high perfomant Graph DBMS
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
Relational DBMS
Search engineGraph DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score1.92
Rank#122  Overall
#11  Graph DBMS
Websitewww.gridgain.comwww.leanxcale.commanticoresearch.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
Technical documentationwww.gridgain.com/­docs/­index.htmlmanual.manticoresearch.comdocs.nebula-graph.io
DeveloperGridGain Systems, Inc.LeanXcaleManticore SoftwareVesoft Inc.
Initial release2007201520172019
Current releaseGridGain 8.5.16.0, February 2023
License infoCommercial or Open Sourcecommercial, open sourcecommercialOpen Source infoGPL version 2Open Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLC++C++
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
FreeBSD
Linux
macOS
Windows
Linux
Data schemeyesyesFixed schemaStrong typed schema
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.yesCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infothrough Apache DerbySQL-like query languageSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
Java
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Go
Java
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsuser defined functions
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Synchronous replication based on Galera libraryCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
noRole-based access control
More information provided by the system vendor
GridGainLeanXcaleManticore SearchNebulaGraph
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
GridGainLeanXcaleManticore SearchNebulaGraph
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