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DBMS > Google BigQuery vs. Ignite vs. InfluxDB vs. Solr

System Properties Comparison Google BigQuery vs. Ignite vs. InfluxDB vs. Solr

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIgnite  Xexclude from comparisonInfluxDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.DBMS for storing time series, events and metricsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSSearch engine
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitecloud.google.com/­bigqueryignite.apache.orgwww.influxdata.com/­products/­influxdb-overviewsolr.apache.org
Technical documentationcloud.google.com/­bigquery/­docsapacheignite.readme.io/­docsdocs.influxdata.com/­influxdbsolr.apache.org/­resources.html
DeveloperGoogleApache Software FoundationApache Software Foundation
Initial release2010201520132006
Current releaseApache Ignite 2.62.7.6, April 20249.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetGoJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes infosupports customizable data types and automatic typing
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.noyesnoyes
Secondary indexesnoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes (compute grid and cache interceptors can be used instead)noJava plugins
Triggersnoyes (cache interceptors and events)noyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Security Hooks for custom implementationssimple rights management via user accountsyes
More information provided by the system vendor
Google BigQueryIgniteInfluxDBSolr
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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