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BadgerDB Key Value

Embed high-performance key-value storage in Go applications

⬢ TIER 2Tech
💰
Medium
Salary impact
⏱
2 months
Time to learn
📊
Medium
Difficulty
👥
12
Careers
At a glance

BadgerDB is an embeddable LSM-tree key-value store for Go. Mid-level Go engineers earn $125-160k; senior architects designing data systems command $210-280k.

What is BadgerDB Key Value

BadgerDB is an embeddable, high-performance key-value store written in Go. It uses an LSM (Log-Structured Merge) tree architecture for fast writes, supports ACID transactions, and handles value size optimization. BadgerDB is ideal for applications requiring local persistence, caching layers, or edge computing without external database dependencies. It powers Dgraph graph database and many distributed systems. - Embedded: No separate server; runs in-process

🔧 TOOLS & ECOSYSTEM
BadgerDB Go libraryTransactionsIteratorsCompression OptionsTTL SupportBackup/RestoreValue LogRocksDB compatibilityGo toolingTesting utilities

📋 Before you start

Distributed Systems

💰 Salary by region

RegionJuniorMidSenior
🇺🇸USA$90k$155k$265k
🇬🇧UK£65k£113k£193k
🇪🇺EU€61k€106k€183k
🇨🇦CANADAC$100kC$171kC$293k

🎯 Careers using BadgerDB Key Value

Account Abstraction Engineer Erc 4337
Backend Developer
Blockchain Developer
Bookkeeper Accountant
Bookkeeping Accounting And Auditing Clerks
Brokerage Clerks
Cashiers
Commercial Real Estate Analyst
Compliance Analyst
Corporate Development Manager
Credit Analyst
Crypto Compliance Investigator

❓ FAQ

▶What's an LSM tree?
Log-Structured Merge tree: writes buffered in memory, periodically flushed to disk. Fast writes, slower reads.
▶Is BadgerDB suitable for production?
Yes, used in Dgraph, Tendermint, and other high-scale systems. ACID transactions, crash-safe.
▶How do I query by range?
Use iterators with prefix/range options. BadgerDB optimized for range scans via sorted keys.
▶Does BadgerDB support SQL?
No, key-value only. For SQL use SQLite, RocksDB with SQL layer, or external DB.
▶What's the performance vs Redis?
BadgerDB: better disk efficiency, no network latency. Redis: faster for hot data (in-memory). Use together: cache layer (Redis) + persistence (BadgerDB).
▶Can I backup live?
Yes, BadgerDB Backup() API safe during live operations. For durability prefer write-ahead log (WAL).

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