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DBMS > GigaSpaces vs. Heroic vs. LevelDB vs. OrigoDB vs. XTDB

System Properties Comparison GigaSpaces vs. Heroic vs. LevelDB vs. OrigoDB vs. XTDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonXTDB infoformerly named Crux  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 valuesA fully ACID in-memory object graph databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSKey-value storeDocument store
Object oriented DBMS
Document store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.gigaspaces.comgithub.com/­spotify/­heroicgithub.com/­google/­leveldborigodb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdorigodb.com/­docswww.xtdb.com/­docs
DeveloperGigaspaces TechnologiesSpotifyGoogleRobert Friberg et alJuxt Ltd.
Initial release2000201420112009 infounder the name LiveDB2019
Current release15.5, September 20201.23, February 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoBSDOpen SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaC++C#Clojure
Server operating systemsLinux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoUser defined using .NET types and collectionsyes, extensible-data-notation format
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 metadatanonono infocan be achieved using .NETno
Secondary indexesyesyes infovia Elasticsearchnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnononolimited SQL, making use of Apache Calcite
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
.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
Supported programming languages.Net
C++
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.NetClojure
Java
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyes, event driven architecturenonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnoneSource-replica replicationyes, each node contains all data
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 Consistency
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoWrite ahead logyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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 controlnoRole based authorization

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More resources
GigaSpacesHeroicLevelDBOrigoDBXTDB infoformerly named Crux
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