DBMS > Alibaba Cloud Table Store vs. Heroic vs. RocksDB vs. Weaviate

System Properties Comparison Alibaba Cloud Table Store vs. Heroic vs. RocksDB vs. Weaviate

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Editorial information provided by DB-Engines

Name

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

A cloud-native, realtime vector search engine integrating scalable machine learning models

Primary database model

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.38
Rank	#261	Overall
	#11	Wide column stores

Score	0.25
Rank	#280	Overall
	#22	Time Series DBMS

Score	3.94
Rank	#88	Overall
	#15	Key-value stores

Score	0.16
Rank	#299	Overall
	#19	Search engines

Website

www.alibabacloud.com/product/table-store

spotify.github.io/heroic/#!/index

rocksdb.org

github.com/semi-technologies/weaviate
weaviate.io

Technical documentation

www.alibabacloud.com/help/product/27278.htm

spotify.github.io/heroic/#!/docs/overview

github.com/facebook/rocksdb/wiki

weaviate.io/developers/weaviate/current

Developer

Alibaba

Spotify

Facebook, Inc.

SeMI Technologies B.V.

Initial release

2016

2014

2013

2017

Current release

7.3.1, June 2022

1.0.3, January 2021

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

BSD

Open Source

commercial license available with Weaviate Enterprise

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

hosted

Data scheme

schema-free

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

yes

string, int, float, geo point, date, cross reference, fuzzy references

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

via Elasticsearch

yes

all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed

SQL

Support of SQL

GraphQL is used as query language

APIs and other access methods

HTTP API

HQL (Heroic Query Language, a JSON-based language)
HTTP API

C++ API
Java API

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

Java
Python

C++
Java

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-row operations

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access rights based on subaccounts and tokens

OpenID Connect Discovery

More information provided by the system vendor

Typical application scenarios

As a stand-alone vector search engine, or use one of the many modules (transformers,...
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Key customers

A ll companies that have data.
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Licensing and pricing models

Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
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