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DBMS > Ehcache vs. GridGain vs. InfinityDB vs. YugabyteDB

System Properties Comparison Ehcache vs. GridGain vs. InfinityDB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGridGain  Xexclude from comparisonInfinityDB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsGridGain is an in-memory computing platform, built on Apache IgniteA Java embedded Key-Value Store which extends the Java Map interfaceHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value storeKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitewww.ehcache.orgwww.gridgain.comboilerbay.comwww.yugabyte.com
Technical documentationwww.ehcache.org/­documentationwww.gridgain.com/­docs/­index.htmlboilerbay.com/­infinitydb/­manualdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperTerracotta Inc, owned by Software AGGridGain Systems, Inc.Boiler Bay Inc.Yugabyte Inc.
Initial release2009200720022017
Current release3.10.0, March 2022GridGain 8.5.14.02.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaJava, C++, .NetJavaC and C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradedepending on used data model
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.noyesnono
Secondary indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes, PostgreSQL compatible
APIs and other access methodsJCacheHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesJavaC#
C++
Java
PHP
Python
Ruby
Scala
JavaC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes infosql, plpgsql, C
Triggersyes infoCache Event Listenersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes (replicated cache)noneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlnoSecurity Hooks for custom implementationsnoyes
More information provided by the system vendor
EhcacheGridGainInfinityDBYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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EhcacheGridGainInfinityDBYugabyteDB
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