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DBMS > Amazon DocumentDB vs. HBase vs. Hypertable vs. LMDB vs. TimescaleDB

System Properties Comparison Amazon DocumentDB vs. HBase vs. Hypertable vs. LMDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHBase  Xexclude from comparisonHypertable  Xexclude from comparisonLMDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWide-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 libraryA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeWide column storeWide column storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.09
Rank#121  Overall
#20  Key-value stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­documentdbhbase.apache.orgwww.symas.com/­symas-embedded-database-lmdbwww.timescale.com
Technical documentationaws.amazon.com/­documentdb/­resourceshbase.apache.org/­book.htmlwww.lmdb.tech/­docdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetHypertable Inc.SymasTimescale
Initial release20192008200920112017
Current release2.3.4, January 20210.9.8.11, March 20160.9.32, January 20242.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CC
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesyesnorestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnonononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
Thrift
C++ API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
selectable replication factor on file system levelnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsSingle row ACID (across millions of columns)noACIDACID
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnonofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBHBaseHypertableLMDBTimescaleDB
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