DeAI Research

BadgerDB

Well supported. 5 quotes from 4 sources. Free to read.

badgerdbopenalexwikipediascholarshipLatest job · sealed

In this paper, the author developed a RCBClutser for a solution for data consistency in cloudnative databases to implement the technologies and techniques: BadgerDB used to read-heavy workloads and support for fully serializable transactions.
Implementation of RAFT Algorithm and BadgerDB to Improve Data Transactions in Multi Group Sharded Cluster (2025) · curated source · CC0-1.0 (metadata) · see it in the source
We evaluate RocksDB, Boltdb, and BadgerDB under various workloads, focusing on memory and CPU utilization.
A Journey Towards the Most Efficient State Database For Hyperledger Fabric (2023) · curated source · CC0-1.0 (metadata) · see it in the source
Our findings reveal that each alternative outperforms the existing options: RocksDB excels in throughput and latency, Boltdb minimizes CPU usage, and BadgerDB is most memory-efficient.
A Journey Towards the Most Efficient State Database For Hyperledger Fabric (2023) · curated source · CC0-1.0 (metadata) · see it in the source
Specifically, BadgerDB exhibits the highest throughput and lowest latency and bbolt demonstrates superior memory utilization efficiency.
Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution (2023) · curated source · CC0-1.0 (metadata) · see it in the source
This study explores alternative state database implementations, including RocksDB, Boltdb, and BadgerDB, and evaluates their performance using diverse workloads, with a focus on memory and CPU utilization.
Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution (2023) · curated source · CC0-1.0 (metadata) · see it in the source

Research query: BadgerDB · jobs: 2 · on-topic sources: 4 · review: Held

Overview

In this paper, the author developed a RCBClutser for a solution for data consistency in cloudnative databases to implement the technologies and techniques: BadgerDB used to read-heavy workloads and support for fully serializable transactions. — Implementation of RAFT Algorithm and BadgerDB to Improve Data Transactions in Multi Group Sharded Cluster (2025)

Our findings reveal that each alternative outperforms the existing options: RocksDB excels in throughput and latency, Boltdb minimizes CPU usage, and BadgerDB is most memory-efficient. — A Journey Towards the Most Efficient State Database For Hyperledger Fabric (2023)

This study explores alternative state database implementations, including RocksDB, Boltdb, and BadgerDB, and evaluates their performance using diverse workloads, with a focus on memory and CPU utilization. — Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution (2023)

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Scholarship

Uncovering the Perfect Scalable Database for Hyperledger Fabric's Evolution (2023)

Specifically, BadgerDB exhibits the highest throughput and lowest latency and bbolt demonstrates superior memory utilization efficiency. (new this job) — source

This study explores alternative state database implementations, including RocksDB, Boltdb, and BadgerDB, and evaluates their performance using diverse workloads, with a focus on memory and CPU utilization. (new this job) — source

Implementation of RAFT Algorithm and BadgerDB to Improve Data Transactions in Multi Group Sharded Cluster (2025)

In this paper, the author developed a RCBClutser for a solution for data consistency in cloudnative databases to implement the technologies and techniques: BadgerDB used to read-heavy workloads and support for fully serializable transactions. (new this job) — source

A Journey Towards the Most Efficient State Database For Hyperledger Fabric (2023)

We evaluate RocksDB, Boltdb, and BadgerDB under various workloads, focusing on memory and CPU utilization. (new this job) — source

Our findings reveal that each alternative outperforms the existing options: RocksDB excels in throughput and latency, Boltdb minimizes CPU usage, and BadgerDB is most memory-efficient. (new this job) — source

Review

Status Held. Verified claims 5. On-topic sources 4 (reused 0). Dropped 0 collector hit(s) and 0 off-topic local claim(s). Conflicts 0. Coverage: badgerdb.

Provenance

Sealed job f39533b917f2cca8ab774e465ac0e69e. Shards: scholar.openalex, encyclopedia.wikipedia. Dropped 0 off-topic collector hit(s) and 0 off-topic local claim(s). Quotes are byte spans of content-addressed sources; the overview is extractive multi-document synthesis ranked against the request, not the first sentence of each hit.

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