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DBMS > Databend vs. HugeGraph vs. Oracle Rdb vs. Tarantool

System Properties Comparison Databend vs. HugeGraph vs. Oracle Rdb vs. Tarantool

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA fast-speed and highly-scalable Graph DBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSGraph 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
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­rdb.htmlwww.tarantool.io
Technical documentationdocs.databend.comhugegraph.apache.org/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.tarantool.io/­en/­doc
DeveloperDatabend LabsBaiduOracle, originally developed by Digital Equipment Corporation (DEC)VK
Initial release2021201819842008
Current release1.0.59, April 20230.97.4.1.1, 20212.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen 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 languageRustJavaC and C++
Server operating systemshosted
Linux
macOS
Linux
macOS
Unix
HP Open VMSBSD
Linux
macOS
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)Flexible 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.nononono
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesnoyesFull-featured ANSI SQL support
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Open binary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Groovy
Java
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsLua, C and SQL stored procedures
Triggersnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, 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 nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseAsynchronous 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 methodsnovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 integritynoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyes, on a single nodeACID, 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 persistentyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesUsers, roles and permissionsAccess 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
DatabendHugeGraphOracle RdbTarantool
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