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DBMS > Lovefield vs. MarkLogic vs. Tarantool vs. XTDB

System Properties Comparison Lovefield vs. MarkLogic vs. Tarantool vs. XTDB

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMarkLogic  Xexclude from comparisonTarantool  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptOperational and transactional Enterprise NoSQL databaseIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Key-value store
Relational DBMS
Document store
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitegoogle.github.io/­lovefieldwww.marklogic.comwww.tarantool.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.marklogic.comwww.tarantool.io/­en/­docwww.xtdb.com/­docs
DeveloperGoogleMarkLogic Corp.VKJuxt Ltd.
Initial release2014200120082019
Current release2.1.12, February 201711.0, December 20222.10.0, May 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C and C++Clojure
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
BSD
Linux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-free infoSchema can be enforcedFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes, extensible-data-notation format
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyes infoSQL92Full-featured ANSI SQL supportlimited SQL, making use of Apache Calcite
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Open binary protocolHTTP REST
JDBC
Supported programming languagesJavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Clojure
Java
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptLua, C and SQL stored proceduresno
TriggersUsing read-only observersyesyes, before/after data modification events, on replication events, client session eventsno
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.none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes, write ahead loggingyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes, with Range Indexesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsAccess 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
LovefieldMarkLogicTarantoolXTDB infoformerly named Crux
DB-Engines blog posts

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

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