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DBMS > Google Cloud Bigtable vs. HBase vs. Manticore Search vs. Warp 10

System Properties Comparison Google Cloud Bigtable vs. HBase vs. Manticore Search vs. Warp 10

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonManticore Search  Xexclude from comparisonWarp 10  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.Wide-column store based on Apache Hadoop and on concepts of BigTableMulti-storage database for search, including full-text search.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value store
Wide column store
Wide column storeSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitecloud.google.com/­bigtablehbase.apache.orgmanticoresearch.comwww.warp10.io
Technical documentationcloud.google.com/­bigtable/­docshbase.apache.org/­book.htmlmanual.manticoresearch.comwww.warp10.io/­content/­02_Getting_started
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetManticore SoftwareSenX
Initial release2015200820172015
Current release2.3.4, January 20216.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGPL version 2Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleFixed schemaschema-free
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesnonoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functionsyes infoWarpScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Synchronous replication based on Galera libraryselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsSingle row ACID (across millions of columns)yes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Google Cloud BigtableHBaseManticore SearchWarp 10
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