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DBMS > Amazon DocumentDB vs. EventStoreDB vs. Galaxybase vs. Tarantool

System Properties Comparison Amazon DocumentDB vs. EventStoreDB vs. Galaxybase vs. Tarantool

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceIndustrial-strength, open-source database solution built from the ground up for event sourcing.Scalable, ACID-compliant native distributed parallel graph platformIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument storeEvent StoreGraph 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
Score1.91
Rank#132  Overall
#24  Document stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.eventstore.comgalaxybase.comwww.tarantool.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdevelopers.eventstore.comwww.tarantool.io/­en/­doc
DeveloperEvent Store LimitedChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司VK
Initial release2019201220172008
Current release21.2, February 2021Nov 20, November 20212.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and JavaC and C++
Server operating systemshostedLinux
Windows
LinuxBSD
Linux
macOS
Data schemeschema-freeStrong typed schemaFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesstring, 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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoFull-featured ANSI SQL support
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Open binary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined procedures and functionsLua, C and SQL stored procedures
Triggersnoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, 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 nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasAsynchronous 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 methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 integrityno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlAccess 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
Amazon DocumentDBEventStoreDBGalaxybaseTarantool
DB-Engines blog posts

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

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