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DBMS > ArangoDB vs. BigObject vs. TimescaleDB vs. Yaacomo

System Properties Comparison ArangoDB vs. BigObject vs. TimescaleDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBigObject  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Analytic DBMS for real-time computations and queriesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.21
Rank#61  Overall
#10  Document stores
#3  Graph DBMS
#10  Key-value stores
#7  Search engines
Score0.05
Rank#312  Overall
#131  Relational DBMS
Score1.92
Rank#114  Overall
#7  Time Series DBMS
Score0.00
Rank#334  Overall
#137  Relational DBMS
Websitewww.arangodb.comwww.bigobject.iowww.timescale.comyaacomo.com
Technical documentationwww.arangodb.com/­docs/­stabledocs.bigobject.iodocs.timescale.com
DeveloperArangoDB Inc.BigObject, Inc.TimescaleQ2WEB GmbH
Initial release2012201520172009
Current release3.6, January 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree community edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis 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.
Implementation languageC++C
Server operating systemsLinux
OS X
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
Android
Linux
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
fluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJavaScriptLuauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0noneyes, across time and space (hash partitioning) attributeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication with configurable replication factornoneMaster-slave replication with hot standby and reads on slaves infoMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoautomatically between fact table and dimension tablesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.yesnoyes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
ArangoDBBigObjectTimescaleDBYaacomo
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
1.8 million+ downloads, 7,500+ Github stars
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Apache 2 and Timescale License (TSL); Product matrix here ; information on pricing...
» more
News

Massive Inserts into ArangoDB With NodeJS
9 January 2020

What’s new in ArangoDB 3.6: OneShard Deployments and Performance Improvements
8 January 2020

Release Candidate 2 of the ArangoDB 3.6 available for testing
23 December 2019

ArangoDB and the Cloud Native Ecosystem
20 November 2019

Say Hi To ArangoDB Oasis: A Fully-Managed Multi-Model Database Service
14 November 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArangoDBBigObjectTimescaleDBYaacomo
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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Recent citations in the news

ArangoDB boosts multi-model database performance with release of ArangoDB 3.6
9 January 2020, SDTimes.com

ArangoDB 3.6 accelerates performance of multi-model database
10 January 2020, TechTarget

Looking to Improve Database Performance – Check Out ArangoDB 3.6 Update That Delivers Major Performance Improvements
8 January 2020, Toolbox

Four Companies Offering Multimodel Database Management System Technology Named IDC Innovators
9 January 2020, Yahoo Finance

insideBIGDATA Latest News – 1/20/2020
20 January 2020, insideBIGDATA

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How to Stay Sane With Modern C++
7 February 2017, DZone News

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TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16 April 2019, PRNewswire

provided by Google News

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