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Delta Alternatives
Similar projects and alternatives to delta
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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airbyte
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
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Apache Arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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LakeSoul
LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.
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connectors
Discontinued This library allows Scala and Java-based projects (including Apache Flink, Apache Hive, Apache Beam, and PrestoDB) to read from and write to Delta Lake.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better delta alternative or higher similarity.
delta discussion
delta reviews and mentions
Posts with mentions or reviews of delta.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-10.
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Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
Delta Lake: Delta Lake is an open-source storage layer that provides ACID transactions, scalable metadata management, and data versioning on top of existing data lakes. It aims to bring reliability and performance optimizations to big data workloads while ensuring data integrity and consistency.
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Stream Processing Systems in 2025: RisingWave, Flink, Spark Streaming, and What's Ahead
When it comes to stream processing systems, Iceberg support varies across vendors. Databricks, which oversees Spark Streaming, focuses on Delta Lake. Apache Flink, heavily influenced by Alibaba’s contributions, promotes Paimon, an alternative to Iceberg. RisingWave, on the other hand, fully embraces Iceberg. Rather than focusing solely on one table format, RisingWave aims to support various catalog services, including AWS Glue Catalog, Polaris, and Unity Catalog.
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Apache Iceberg
Hidden partitioning is the most interesting Iceberg feature, because most of the very large datasets are timeseries fact tables.
I don't remember seeing that in Delta Lake [1], which is probably because the industry standard benchmarks join date as a dimension table and do not use timestamp ranges instead of dates.
[1] - https://github.com/delta-io/delta/issues/490
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25 Open Source AI Tools to Cut Your Development Time in Half
Delta Lake is a storage layer framework that provides reliability to data lakes. It addresses the challenges of managing large-scale data in lakehouse architectures, where data is stored in an open format and used for various purposes, like machine learning (ML). Data engineers can build real-time pipelines or ML applications using Delta Lake because it supports both batch and streaming data processing. It also brings ACID (atomicity, consistency, isolation, durability) transactions to data lakes, ensuring data integrity even with concurrent reads and writes from multiple pipelines.
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Make Rust Object Oriented with the dual-trait pattern
There is a neat example, of how a third party project belonging to the Linux Foundation, is implementing UserDefinedLogicalNodeCore: MetricObserver in delta-rs. The developer had to use only #[derive(Debug, Hash, Eq, PartialEq)] to get dyn_eq and dyn_hash implemented.
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Delta Lake vs. Parquet: A Comparison
Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it.
I think the website is here: https://delta.io
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Understanding Parquet, Iceberg and Data Lakehouses
I often hear references to Apache Iceberg and Delta Lake as if they’re two peas in the Open Table Formats pod. Yet…
Here’s the Apache Iceberg table format specification:
https://iceberg.apache.org/spec/
As they like to say in patent law, anyone “skilled in the art” of database systems could use this to build and query Iceberg tables without too much difficulty.
This is nominally the Delta Lake equivalent:
https://github.com/delta-io/delta/blob/master/PROTOCOL.md
I defy anyone to even scope out what level of effort would be required to fully implement the current spec, let alone what would be involved in keeping up to date as this beast evolves.
Frankly, the Delta Lake spec reads like a reverse engineering of whatever implementation tradeoffs Databricks is making as they race to build out a lakehouse for every Fortune 1000 company burned by Hadoop (which is to say, most of them).
My point is that I’ve yet to be convinced that buying into Delta Lake is actually buying into an open ecosystem. Would appreciate any reassurance on this front!
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Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake.
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[D] Is there other better data format for LLM to generate structured data?
The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json.
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Delta vs Iceberg: make love not war
Delta 3.0 extends an olive branch. https://github.com/delta-io/delta/releases/tag/v3.0.0rc1
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A note from our sponsor - InfluxDB
www.influxdata.com | 19 May 2025
Stats
Basic delta repo stats
74
8,023
9.8
3 days ago
delta-io/delta is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of delta is Scala.
Sponsored
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com