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DBMS > Amazon Aurora vs. HBase vs. Hypertable vs. InfinityDB

System Properties Comparison Amazon Aurora vs. HBase vs. Hypertable vs. InfinityDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonHBase  Xexclude from comparisonHypertable  Xexclude from comparisonInfinityDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonWide-column store based on Apache Hadoop and on concepts of BigTableAn open source BigTable implementation based on distributed file systems such as HadoopA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSWide column storeWide column storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Websiteaws.amazon.com/­rds/­aurorahbase.apache.orgboilerbay.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlhbase.apache.org/­book.htmlboilerbay.com/­infinitydb/­manual
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by PowersetHypertable Inc.Boiler Bay Inc.
Initial release2015200820092002
Current release2.3.4, January 20210.9.8.11, March 20164.0
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VM
Data schemeyesschema-free, schema definition possibleschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.yesnono
Secondary indexesyesnorestricted infoonly exact value or prefix value scansno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
C++ API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javanono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnonono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID infoOptimistic locking for transactions; no isolation for bulk loads
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
Amazon AuroraHBaseHypertableInfinityDB
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