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DBMS > Google Cloud Bigtable vs. Graphite vs. HyperSQL vs. Ignite vs. Realm

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. HyperSQL vs. Ignite vs. Realm

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIgnite  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value store
Wide column store
Time Series DBMSRelational DBMSKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webhsqldb.orgignite.apache.orgrealm.io
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iohsqldb.org/­web/­hsqlDocsFrame.htmlapacheignite.readme.io/­docsrealm.io/­docs
DeveloperGoogleChris DavisApache Software FoundationRealm, acquired by MongoDB in May 2019
Initial release20152006200120152014
Current release2.7.2, June 2023Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infobased on BSD licenseOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++, Java, .Net
Server operating systemshostedLinux
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoNumeric data onlyyesyesyes
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.nononoyesno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoyesANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP API infoJDBC via HTTP
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC
Java
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoJava, SQLyes (compute grid and cache interceptors can be used instead)no inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyes (cache interceptors and events)yes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnonenoneyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardSecurity Hooks for custom implementationsyes

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More resources
Google Cloud BigtableGraphiteHyperSQL infoalso known as HSQLDBIgniteRealm
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