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DBMS > Lovefield vs. Quasardb vs. SQream DB vs. Tarantool

System Properties Comparison Lovefield vs. Quasardb vs. SQream DB vs. Tarantool

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonQuasardb  Xexclude from comparisonSQream DB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries databasea GPU-based, columnar RDBMS for big data analytics workloadsIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSTime Series 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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitegoogle.github.io/­lovefieldquasar.aisqream.comwww.tarantool.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­masterdocs.sqream.comwww.tarantool.io/­en/­doc
DeveloperGooglequasardbSQream TechnologiesVK
Initial release2014200920172008
Current release2.1.12, February 20173.14.1, January 20242022.1.6, December 20222.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen 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 languageJavaScriptC++C++, CUDA, Haskell, Java, ScalaC and C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
LinuxBSD
Linux
macOS
Data schemeyesschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes, ANSI Standard SQL Typesstring, 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 indexesyesyes infowith tagsnoyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL-like query languageyesFull-featured ANSI SQL support
APIs and other access methodsHTTP API.Net
JDBC
ODBC
Open binary protocol
Supported programming languagesJavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonouser defined functions in PythonLua, C and SQL stored procedures
TriggersUsing read-only observersnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashinghorizontal and vertical partitioningSharding, 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 nodesnoneSource-replica replication with selectable replication factornoneAsynchronous 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 methodsnowith Hadoop integrationno
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 integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDByesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes infoTransient modeyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailAccess 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
LovefieldQuasardbSQream DBTarantool
DB-Engines blog posts

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

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