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DBMS > GigaSpaces vs. IBM Db2 Event Store vs. LevelDB vs. Teradata Aster

System Properties Comparison GigaSpaces vs. IBM Db2 Event Store vs. LevelDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLevelDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDistributed Event Store optimized for Internet of Things use casesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Event Store
Time Series DBMS
Key-value storeRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Websitewww.gigaspaces.comwww.ibm.com/­products/­db2-event-storegithub.com/­google/­leveldb
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperGigaspaces TechnologiesIBMGoogleTeradata
Initial release2000201720112005
Current release15.5, September 20202.01.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree developer edition availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC and C++C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer additionIllumos
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesnoyes
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 infoin Aster File Store
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyes infothrough the embedded Spark runtimenoyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C++
Java
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesyesnoR packages
Triggersyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Active-active shard replicationnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
GigaSpacesIBM Db2 Event StoreLevelDBTeradata Aster
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