DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AgensGraph vs. Cachelot.io vs. Heroic vs. NebulaGraph vs. RocksDB

System Properties Comparison AgensGraph vs. Cachelot.io vs. Heroic vs. NebulaGraph vs. RocksDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonCachelot.io  Xexclude from comparisonHeroic  Xexclude from comparisonNebulaGraph  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLIn-memory caching systemTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed, linear scalable, high perfomant Graph DBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMS
Relational DBMS
Key-value storeTime Series DBMSGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitebitnine.net/­agensgraphcachelot.iogithub.com/­spotify/­heroicgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
rocksdb.org
Technical documentationbitnine.net/­documentationspotify.github.io/­heroicdocs.nebula-graph.iogithub.com/­facebook/­rocksdb/­wiki
DeveloperBitnine Global Inc.SpotifyVesoft Inc.Facebook, Inc.
Initial release20162015201420192013
Current release2.1, December 20189.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoSimplified BSD LicenseOpen Source infoApache 2.0Open Source infoApache Version 2.0 + Common Clause 1.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++JavaC++C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinux
Data schemedepending on used data modelschema-freeschema-freeStrong typed schemaschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonononono
Secondary indexesyesnoyes infovia Elasticsearchyes 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.no
SQL infoSupport of SQLyesnonoSQL-like query languageno
APIs and other access methodsCypher Query Language
JDBC
Memcached protocolHQL (Heroic Query Language, a JSON-based language)
HTTP API
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
C++ API
Java API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
C++
Go
Java
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesnonouser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesCausal Clustering using Raft protocolyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access controlno
More information provided by the system vendor
AgensGraphCachelot.ioHeroicNebulaGraphRocksDB
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AgensGraphCachelot.ioHeroicNebulaGraphRocksDB
Recent citations in the news

Graph DBMS Performance Comparison AgensGraph vs. Neo4j
29 June 2017, businesswire.com

Bitnine revisualizes database industry through AgensGraph
30 June 2017, The Korea Herald

Bitnine Releases AgensGraph 2.1, the Multi-model Graph Database Optimized for the Legacy Environment
29 January 2019, businesswire.com

AGE - The Open Source PostgreSQL Extension For Graph Database Functionality
27 June 2022, iProgrammer

Bitnine: The Newly Revealed 'AI Teacher' Powered by Graph Database Delivers Hyper-Personalized Learning ...
25 March 2019, businesswire.com

provided by Google News

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Vesoft (NebulaGraph) Recognized in the Gartner® Market Guide for Graph Database Management Systems
15 November 2023, PR Newswire

NebulaGraph reaps from China's growing appetite for graph databases
16 September 2022, TechCrunch

NebulaGraph Completes Series A to Scale Its Distributed Graph Database
16 September 2022, Datanami

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

Linux 6.9 Drives AMD 4th Gen EPYC Performance Even Higher For Some Workloads
29 March 2024, Phoronix

Facebook's MyRocks Truly Rocks!
21 September 2020, Open Source For You

Power your Kafka Streams application with Amazon MSK and AWS Fargate | Amazon Web Services
10 August 2021, AWS Blog

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here