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DBMS > Google BigQuery vs. Heroic vs. SAP HANA vs. Solr

System Properties Comparison Google BigQuery vs. Heroic vs. SAP HANA vs. Solr

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonSAP HANA  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchIn-memory, column based data store. Available as appliance or cloud serviceA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score0.22
Rank#285  Overall
#25  Time Series DBMS
Score55.09
Rank#21  Overall
#13  Relational DBMS
Score57.26
Rank#20  Overall
#3  Search engines
Websitecloud.google.com/­bigqueryspotify.github.io/­heroic/­#!/­indexwww.sap.com/­products/­hana.htmllucene.apache.org/­solr
Technical documentationcloud.google.com/­bigquery/­docsspotify.github.io/­heroic/­#!/­docs/­overviewhelp.sap.com/­hanalucene.apache.org/­solr/­resources.html
DeveloperGoogleSpotifySAPApache Software Foundation
Initial release2010201420102006
Current release2.0 SPS05 (June 26, 2020), June 20209.0.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedAppliance or cloud-serviceAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononoyes
Secondary indexesnoyes infovia Elasticsearchyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoyesSolr Parallel SQL Interface
APIs and other access methodsRESTful HTTP/JSON APIHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.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 JavaScriptnoSQLScript, RJava plugins
Triggersnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDoptimistic 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.nonoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesyes

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More resources
Google BigQueryHeroicSAP HANASolr
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