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DBMS > HEAVY.AI vs. Hypertable vs. Memcached vs. Spark SQL vs. Tibero

System Properties Comparison HEAVY.AI vs. Hypertable vs. Memcached vs. Spark SQL vs. Tibero

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparisonTibero  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopIn-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processingA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSWide column storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.memcached.orgspark.apache.org/­sqlus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.heavy.aigithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperHEAVY.AI, Inc.Hypertable Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationTmaxSoft
Initial release20162009200320142003
Current release5.10, January 20220.9.8.11, March 20161.6.27, May 20243.5.0 ( 2.13), September 20236, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSD licenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++CScalaC and Assembler
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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.nonoyes
Secondary indexesnorestricted infoonly exact value or prefix value scansnonoyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
C++ API
Thrift
Proprietary protocolJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonononoPersistent Stored Procedure (PSM)
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingnoneyes, utilizing Spark Corehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system levelnone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousing SASL (Simple Authentication and Security Layer) protocolnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableMemcachedSpark SQLTibero
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