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DBMS > GigaSpaces vs. Heroic vs. LevelDB vs. Memcached vs. Teradata

System Properties Comparison GigaSpaces vs. Heroic vs. LevelDB vs. Memcached vs. Teradata

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonMemcached  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesIn-memory key-value store, originally intended for cachingA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.gigaspaces.comgithub.com/­spotify/­heroicgithub.com/­google/­leveldbwww.memcached.orgwww.teradata.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­memcached/­memcached/­wikidocs.teradata.com
DeveloperGigaspaces TechnologiesSpotifyGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTeradata
Initial release20002014201120031984
Current release15.5, September 20201.23, February 20211.6.27, May 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoBSDOpen Source infoBSD licensecommercial
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 languageJava, C++, .NetJavaC++C
Server operating systemsLinux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
hosted
Linux
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.no infoXML can be used for describing objects metadatanonoyes
Secondary indexesyesyes infovia Elasticsearchnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-99 for query and DML statementsnononoyes infoSQL 2016 + extensions
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C++
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes, event driven architecturenononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnonenone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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GigaSpacesHeroicLevelDBMemcachedTeradata
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