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DBMS > Google Cloud Bigtable vs. Graphite vs. Hawkular Metrics vs. Microsoft Access vs. Sqrrl

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. Hawkular Metrics vs. Microsoft Access vs. Sqrrl

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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 WhisperHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value store
Wide column store
Time Series DBMSTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.com
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­access
DeveloperGoogleChris DavisCommunity supported by Red HatMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20152006201419922012
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoBundled with Microsoft Officecommercial
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 languagePythonJavaC++Java
Server operating systemshostedLinux
Unix
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesschema-freeyesschema-free
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.nonono
Secondary indexesnononoyesyes
SQL infoSupport of SQLnononoyes infobut not compliant to any SQL standardno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP RESTADO.NET
DAO
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engineno
Triggersnonoyes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on CassandranoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneselectable replication factor infobased on Cassandranoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACID infobut no files for transaction loggingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonono infoa simple user-level security was built in till version Access 2003Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Google Cloud BigtableGraphiteHawkular MetricsMicrosoft AccessSqrrl
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