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DBMS > ArangoDB vs. BigObject vs. Solr vs. TimescaleDB

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

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBigObject  Xexclude from comparisonSolr  Xexclude from comparisonTimescaleDB  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 widely used enterprise search engine based on Apache LuceneA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMS infoa hierachical model (tree) can be imposedSearch engineTime Series 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
Score56.57
Rank#17  Overall
#3  Search engines
Score1.92
Rank#114  Overall
#7  Time Series DBMS
Websitewww.arangodb.comwww.bigobject.iolucene.apache.org/­solrwww.timescale.com
Technical documentationwww.arangodb.com/­docs/­stabledocs.bigobject.iolucene.apache.org/­solr/­resources.htmldocs.timescale.com
DeveloperArangoDB Inc.BigObject, Inc.Apache Software FoundationTimescale
Initial release2012201520042017
Current release3.6, January 20208.3.1, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree community edition availableOpen Source infoApache Version 2Open Source infoApache 2.0
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++JavaC
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)
All OS with a Java VM and a servlet container inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes infosupports customizable data types and automatic typingnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno infosupports limited query time joinsyes infofull PostgreSQL SQL syntax
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
Java API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJavaScriptLuaJava pluginsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0noneShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication with configurable replication factornonecloud/distributed (via Zookeeper)
Master-slave replication
Master-slave replication with hot standby and reads on slaves info
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)
noneEventual Consistency infoslaves poll the master in predefined intervallsImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking infoSolr 4ACID
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.yesnono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
ArangoDBBigObjectSolrTimescaleDB
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
ArangoDBBigObjectSolrTimescaleDB
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9 January 2020, SDTimes.com

ArangoDB 3.6 accelerates performance of multi-model database
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New Research: Apache Solr Parameter Injection
14 August 2019, Security Boulevard

Exploit code published for two dangerous Apache Solr remote code execution flaws
26 November 2019, ZDNet

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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
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