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DBMS > Google Cloud Spanner vs. HBase vs. Hypertable vs. LMDB

System Properties Comparison Google Cloud Spanner vs. HBase vs. Hypertable vs. LMDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHBase  Xexclude from comparisonHypertable  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.Wide-column store based on Apache Hadoop and on concepts of BigTableAn open source BigTable implementation based on distributed file systems such as HadoopA high performant, light-weight, embedded key-value database library
Primary database modelRelational DBMSWide column storeWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Websitecloud.google.com/­spannerhbase.apache.orgwww.symas.com/­symas-embedded-database-lmdb
Technical documentationcloud.google.com/­spanner/­docshbase.apache.org/­book.htmlwww.lmdb.tech/­doc
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetHypertable Inc.Symas
Initial release2017200820092011
Current release2.3.4, January 20210.9.8.11, March 20160.9.32, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Unix
Windows
Data schemeyesschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROno
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 indexesyesnorestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonono
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
Java API
RESTful HTTP API
Thrift
C++ API
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
.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 proceduresnoyes infoCoprocessors in Javanono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
selectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 & ABACnono

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More resources
Google Cloud SpannerHBaseHypertableLMDB
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