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DBMS > Google BigQuery vs. InterSystems IRIS vs. RocksDB vs. SAP SQL Anywhere vs. XTDB

System Properties Comparison Google BigQuery vs. InterSystems IRIS vs. RocksDB vs. SAP SQL Anywhere vs. XTDB

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRocksDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitecloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-irisrocksdb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­facebook/­rocksdb/­wikihelp.sap.com/­docs/­SAP_SQL_Anywherewww.xtdb.com/­docs
DeveloperGoogleInterSystemsFacebook, Inc.SAP infoformerly SybaseJuxt Ltd.
Initial release20102018201319922019
Current release2023.3, June 20239.2.1, May 202417, July 20151.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Clojure
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesdepending on used data modelschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes, extensible-data-notation format
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.noyesnoyesno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLyesyesnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
C++ API
Java API
ADO.NET
HTTP API
JDBC
ODBC
HTTP REST
JDBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesnoyes, in C/C++, Java, .Net or Perlno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication infoDatabase mirroringyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesnofine grained access rights according to SQL-standard
More information provided by the system vendor
Google BigQueryInterSystems IRISRocksDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereXTDB infoformerly named Crux
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Google BigQueryInterSystems IRISRocksDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereXTDB infoformerly named Crux
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