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DBMS > HarperDB vs. Tarantool vs. TinkerGraph vs. WakandaDB

System Properties Comparison HarperDB vs. Tarantool vs. TinkerGraph vs. WakandaDB

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonTarantool  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.In-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeDocument store
Key-value store
Relational DBMS
Graph DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.harperdb.iowww.tarantool.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwakanda.github.io
Technical documentationdocs.harperdb.io/­docswww.tarantool.io/­en/­docwakanda.github.io/­doc
DeveloperHarperDBVKWakanda SAS
Initial release2017200820092012
Current release3.1, August 20212.10.0, May 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC and C++JavaC++, JavaScript
Server operating systemsLinux
OS X
BSD
Linux
macOS
Linux
OS X
Windows
Data schemedynamic schemaFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-freeyes
Typing infopredefined data types such as float or dateyes infoJSON data typesstring, double, decimal, uuid, integer, blob, boolean, datetimeyesyes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like data manipulation statementsFull-featured ANSI SQL supportnono
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Open binary protocolTinkerPop 3RESTful HTTP API
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Groovy
Java
JavaScript
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1Lua, C and SQL stored proceduresnoyes
Triggersnoyes, before/after data modification events, on replication events, client session eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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
noneImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingnoyes
Durability infoSupport for making data persistentyes, using LMDByes, write ahead loggingoptionalyes
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 persistenceyesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
noyes

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More resources
HarperDBTarantoolTinkerGraphWakandaDB
DB-Engines blog posts

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

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