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DBMS > Google Cloud Bigtable vs. Hypertable vs. Ignite vs. Vitess vs. XTDB

System Properties Comparison Google Cloud Bigtable vs. Hypertable vs. Ignite vs. Vitess vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHypertable  Xexclude from comparisonIgnite  Xexclude from comparisonVitess  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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.An open source BigTable implementation based on distributed file systems such as HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Scalable, distributed, cloud-native DBMS, extending MySQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Wide column store
Wide column storeKey-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitecloud.google.com/­bigtableignite.apache.orgvitess.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­bigtable/­docsapacheignite.readme.io/­docsvitess.io/­docswww.xtdb.com/­docs
DeveloperGoogleHypertable Inc.Apache Software FoundationThe Linux Foundation, PlanetScaleJuxt Ltd.
Initial release20152009201520132019
Current release0.9.8.11, March 2016Apache Ignite 2.615.0.2, December 20221.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, .NetGoClojure
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyesyes, extensible-data-notation format
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.noyesno
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyes infowith proprietary extensionslimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntaxno
Triggersnonoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor on file system levelyes (replicated cache)Multi-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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)noSecurity Hooks for custom implementationsUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud BigtableHypertableIgniteVitessXTDB infoformerly named Crux
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