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DBMS > Ehcache vs. Ingres vs. Interbase vs. Tarantool

System Properties Comparison Ehcache vs. Ingres vs. Interbase vs. Tarantool

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonIngres  Xexclude from comparisonInterbase  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsWell established RDBMSLight-weight proven RDBMS infooriginally from BorlandIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitewww.ehcache.orgwww.actian.com/­databases/­ingreswww.embarcadero.com/­products/­interbasewww.tarantool.io
Technical documentationwww.ehcache.org/­documentationdocs.actian.com/­ingresdocs.embarcadero.com/­products/­interbasewww.tarantool.io/­en/­doc
DeveloperTerracotta Inc, owned by Software AGActian CorporationEmbarcaderoVK
Initial release20091974 infooriginally developed at University Berkely in early 1970s19842008
Current release3.10.0, March 202211.2, May 2022InterBase 2020, December 20192.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCCC and C++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Android
iOS
Linux
OS X
Windows
BSD
Linux
macOS
Data schemeschema-freeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.nono infobut tools for importing/exporting data from/to XML-files availableno infoexport as XML data possibleno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesFull-featured ANSI SQL support
APIs and other access methodsJCache.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
Open binary protocol
Supported programming languagesJava.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesyes infoInterbase procedure and trigger languageLua, C and SQL stored procedures
Triggersyes infoCache Event Listenersyesyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerIngres ReplicatorInterbase Change ViewsAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes infoMultiversion concurreny controlyes, cooperative multitasking
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
EhcacheIngresInterbaseTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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