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DBMS > Google BigQuery vs. Hazelcast vs. ITTIA vs. SAP SQL Anywhere

System Properties Comparison Google BigQuery vs. Hazelcast vs. ITTIA vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHazelcast  Xexclude from comparisonITTIA  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA widely adopted in-memory data gridEdge Time Series DBMS with Real-Time Stream ProcessingRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitecloud.google.com/­bigqueryhazelcast.comwww.ittia.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationcloud.google.com/­bigquery/­docshazelcast.org/­imdg/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGoogleHazelcastITTIA L.L.C.SAP infoformerly Sybase
Initial release2010200820071992
Current release5.3.6, November 20238.717, July 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemshostedAll OS with a Java VMLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes
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.noyes infothe object must implement a serialization strategynoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesyes
APIs and other access methodsRESTful HTTP/JSON APIJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoEvent Listeners, Executor Servicesyesyes, in C/C++, Java, .Net or Perl
Triggersnoyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataone or two-phase-commit; repeatable reads; read commitedyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access controlDatabase file passwordsfine grained access rights according to SQL-standard

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More resources
Google BigQueryHazelcastITTIASAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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