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DBMS > atoti vs. BoltDB vs. GridGain vs. SpaceTime

System Properties Comparison atoti vs. BoltDB vs. GridGain vs. SpaceTime

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonGridGain  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded key-value store for Go.GridGain is an in-memory computing platform, built on Apache IgniteSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelObject oriented DBMSKey-value storeKey-value store
Relational DBMS
Spatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteatoti.iogithub.com/­boltdb/­boltwww.gridgain.comwww.mireo.com/­spacetime
Technical documentationdocs.atoti.iowww.gridgain.com/­docs/­index.html
DeveloperActiveViamGridGain Systems, Inc.Mireo
Initial release201320072020
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava, C++, .NetC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)noANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesGoC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Python
Server-side scripts infoStored proceduresPythonnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Real-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsyes

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More resources
atotiBoltDBGridGainSpaceTime
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