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DBMS > Google Cloud Spanner vs. Hypertable vs. IBM Cloudant vs. Ignite vs. LMDB

System Properties Comparison Google Cloud Spanner vs. Hypertable vs. IBM Cloudant vs. Ignite vs. LMDB

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIgnite  Xexclude from comparisonLMDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering based on Apache CouchDBApache 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 high performant, light-weight, embedded key-value database library
Primary database modelRelational DBMSWide column storeDocument storeKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Websitecloud.google.com/­spannerwww.ibm.com/­products/­cloudantignite.apache.orgwww.symas.com/­symas-embedded-database-lmdb
Technical documentationcloud.google.com/­spanner/­docscloud.ibm.com/­docs/­Cloudantapacheignite.readme.io/­docswww.lmdb.tech/­doc
DeveloperGoogleHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationSymas
Initial release20172009201020152011
Current release0.9.8.11, March 2016Apache Ignite 2.60.9.32, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC++, Java, .NetC
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
OS X
Solaris
Windows
Linux
Unix
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyes
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.nonoyesno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
C++ API
Thrift
RESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.selectable replication factor on file system levelMulti-source replication
Source-replica replication
yes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnono infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights for users can be defined per databaseSecurity Hooks for custom implementationsno

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More resources
Google Cloud SpannerHypertableIBM CloudantIgniteLMDB
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