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DBMS > Google Cloud Spanner vs. Hypertable vs. LMDB vs. Sequoiadb vs. TypeDB

System Properties Comparison Google Cloud Spanner vs. Hypertable vs. LMDB vs. Sequoiadb vs. TypeDB

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHypertable  Xexclude from comparisonLMDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonTypeDB infoformerly named Grakn  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 HadoopA high performant, light-weight, embedded key-value database libraryNewSQL database with distributed OLTP and SQLTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSWide column storeKey-value storeDocument store
Relational DBMS
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitecloud.google.com/­spannerwww.symas.com/­symas-embedded-database-lmdbwww.sequoiadb.comtypedb.com
Technical documentationcloud.google.com/­spanner/­docswww.lmdb.tech/­docwww.sequoiadb.com/­en/­index.php?m=Files&a=indextypedb.com/­docs
DeveloperGoogleHypertable Inc.SymasSequoiadb Ltd.Vaticle
Initial release20172009201120132016
Current release0.9.8.11, March 20160.9.32, January 20242.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++Java
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infooid, date, timestamp, binary, regexyes
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 indexesyesrestricted infoonly exact value or prefix value scansnoyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011nonoSQL-like query languageno
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
proprietary protocol using JSONgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
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
.Net
C++
Java
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnononoJavaScriptno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.selectable replication factor on file system levelnoneSource-replica replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDDocument is locked during a transactionACID
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.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonosimple password-based access controlyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Google Cloud SpannerHypertableLMDBSequoiadbTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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Google Cloud SpannerHypertableLMDBSequoiadbTypeDB infoformerly named Grakn
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