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DBMS > Google Cloud Bigtable vs. Hawkular Metrics vs. Sqrrl vs. SwayDB vs. ToroDB

System Properties Comparison Google Cloud Bigtable vs. Hawkular Metrics vs. Sqrrl vs. SwayDB vs. ToroDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSqrrl  Xexclude from comparisonSwayDB  Xexclude from comparisonToroDB  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.ToroDB seems to be discontinued. Therefore it is excluded 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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Adaptable, secure NoSQL built on Apache AccumuloAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value store
Wide column store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value storeDocument 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
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitecloud.google.com/­bigtablewww.hawkular.orgsqrrl.comswaydb.simer.augithub.com/­torodb/­server
Technical documentationcloud.google.com/­bigtable/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperGoogleCommunity supported by Red HatAmazon infooriginally Sqrrl Data, Inc.Simer Plaha8Kdata
Initial release20152014201220182016
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGNU Affero GPL V3.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScalaJava
Server operating systemshostedLinux
OS X
Windows
LinuxAll OS with a Java 7 VM
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesnonoyesno
SQL infoSupport of SQLnononono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP RESTAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononono
Triggersnoyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infomaking use of HadoopnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandraselectable replication factor infomaking use of HadoopnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual 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.Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoAtomic updates per row, document, or graph entityAtomic execution of operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)noAccess rights for users and roles

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More resources
Google Cloud BigtableHawkular MetricsSqrrlSwayDBToroDB
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