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DBMS > AgensGraph vs. ArangoDB vs. Bangdb vs. CrateDB vs. LevelDB

System Properties Comparison AgensGraph vs. ArangoDB vs. Bangdb vs. CrateDB vs. LevelDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonArangoDB  Xexclude from comparisonBangdb  Xexclude from comparisonCrateDB  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Converged and high performance database for device data, events, time series, document and graphDistributed Database based on LuceneEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelGraph DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Search engine
Document store
Graph DBMS
Time Series DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websitebitnine.net/­agensgrapharangodb.combangdb.comcratedb.comgithub.com/­google/­leveldb
Technical documentationbitnine.net/­documentationdocs.arangodb.comdocs.bangdb.comcratedb.com/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperBitnine Global Inc.ArangoDB Inc.Sachin Sinha, BangDBCrateGoogle
Initial release20162012201220132011
Current release2.1, December 20183.11.5, November 2023BangDB 2.0, October 20211.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoBSD 3Open SourceOpen 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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageCC++C, C++JavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportIllumos
Linux
OS X
Windows
Data schemedepending on used data modelschema-free infoautomatically recognizes schema within a collectionschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyes: string, long, double, int, geospatial, stream, eventsyesno
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.nononono
Secondary indexesyesyesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLyesnoSQL like support with command line toolyes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsCypher Query Language
JDBC
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
C#
C++
Java
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyesJavaScriptnouser defined functions (Javascript)no
Triggersnonoyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infosince version 2.0Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with configurable replication factorselectable replication factor, Knob for CAP (enterprise version only)Configurable replication on table/partition-levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Tunable consistency, set CAP knob accordinglyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integrityyesyes inforelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesyes (enterprise version only)rights management via user accountsno
More information provided by the system vendor
AgensGraphArangoDBBangdbCrateDBLevelDB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
The enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Response time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Across all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
The CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
See CrateDB pricing >
» more

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AgensGraphArangoDBBangdbCrateDBLevelDB
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