- Aerospike
- Akamas
- AlloyDB
- ApertureDB
- Arrow
- Berkeley DB
- BlazingDB
- Brytlyt
- Chaos Mesh
- Citus
- CockroachDB
- Convex
- CrateDB
- Databricks
- Datometry
- dbt
- Delta Lake
- Dremio
- DSQL
- DVMS
- EraDB
- eXtremeDB
- Fauna
- Featureform
- Firebolt
- Fluss
- Gaia
- GlareDB
- GoogleSQL
- GreptimeDB
- Heron
- Iceberg
- InfluxDB
- kdb
- ksqlDB
- LeanStore
- LMDB
- MapD
- Materialize
- Milvus
- MonetDB
- Mooncake
- MySQL
- Neon
- Noria
- OceanBase
- Oracle
- OxQL
- Pinecone
- PlanetScale
- PostgresML
- PRQL
- QMDB
- QuestDB
- Redshift
- RisingWave
- Rockset
- rqlite
- Samza
- SingleStore
- SLOG
- Snowflake
- SpiceDB
- SplinterDB
- SQL Server
- SQLite
- Stardog
- Striim
- Swarm64
- Technical University of Munich
- TiDB
- TileDB
- Tokutek
- Umbra
- Vertica
- VoltDB
- Weaviate
- XTDB
- YugabyteDB
- AirFlow
- Alibaba
- Anna
- APOLLO
- Azure Cosmos DB
- BigQuery
- Bodo
- Cassandra
- Chroma
- ClickHouse
- Confluent
- CouchDB
- CrocodileDB
- DataFusion
- Datomic
- Debezium
- Dolt
- Druid
- DuckDB
- EdgeDB
- Exon
- FASTER
- FeatureBase
- Feldera
- Fluree
- FoundationDB
- Gel
- Google Spanner
- Greenplum
- HarperDB
- Hudi
- Impala
- Jepsen
- Kinetica
- LanceDB
- Litestream
- Malloy
- MariaDB
- MemSQL
- Modin
- MongoDB
- MotherDuck
- Napa
- NoisePage
- NuoDB
- OpenDAL
- OtterTune
- ParadeDB
- Pinot
- Polaris
- PostgreSQL
- Qdrant
- QuasarDB
- RavenDB
- RelationalAI
- RocksDB
- RonDB
- SalesForce
- ScyllaDB
- sled
- Smooth
- Spice.ai
- Splice Machine
- SQL Anywhere
- SQLancer
- SQream
- StarRocks
- Summingbird
- Synnada
- TerminusDB
- TigerBeetle
- TimescaleDB
- Trino
- Velox
- Vitesse
- Vortex
- WiredTiger
- Yellowbrick
- Aerospike
- Alibaba
- ApertureDB
- Azure Cosmos DB
- BlazingDB
- Cassandra
- Citus
- Confluent
- CrateDB
- DataFusion
- dbt
- Dolt
- DSQL
- EdgeDB
- eXtremeDB
- FeatureBase
- Firebolt
- FoundationDB
- GlareDB
- Greenplum
- Heron
- Impala
- kdb
- LanceDB
- LMDB
- MariaDB
- Milvus
- MongoDB
- MySQL
- NoisePage
- OceanBase
- OtterTune
- Pinecone
- Polaris
- PRQL
- QuasarDB
- Redshift
- RocksDB
- rqlite
- ScyllaDB
- SLOG
- Spice.ai
- SplinterDB
- SQLancer
- Stardog
- Summingbird
- Technical University of Munich
- TigerBeetle
- Tokutek
- Velox
- VoltDB
- WiredTiger
- YugabyteDB
- AirFlow
- AlloyDB
- APOLLO
- Berkeley DB
- Bodo
- Chaos Mesh
- ClickHouse
- Convex
- CrocodileDB
- Datometry
- Debezium
- Dremio
- DuckDB
- EraDB
- FASTER
- Featureform
- Fluree
- Gaia
- Google Spanner
- GreptimeDB
- Hudi
- InfluxDB
- Kinetica
- LeanStore
- Malloy
- Materialize
- Modin
- Mooncake
- Napa
- Noria
- OpenDAL
- OxQL
- Pinot
- PostgresML
- Qdrant
- QuestDB
- RelationalAI
- Rockset
- SalesForce
- SingleStore
- Smooth
- SpiceDB
- SQL Anywhere
- SQLite
- StarRocks
- Swarm64
- TerminusDB
- TileDB
- Trino
- Vertica
- Vortex
- XTDB
- Akamas
- Anna
- Arrow
- BigQuery
- Brytlyt
- Chroma
- CockroachDB
- CouchDB
- Databricks
- Datomic
- Delta Lake
- Druid
- DVMS
- Exon
- Fauna
- Feldera
- Fluss
- Gel
- GoogleSQL
- HarperDB
- Iceberg
- Jepsen
- ksqlDB
- Litestream
- MapD
- MemSQL
- MonetDB
- MotherDuck
- Neon
- NuoDB
- Oracle
- ParadeDB
- PlanetScale
- PostgreSQL
- QMDB
- RavenDB
- RisingWave
- RonDB
- Samza
- sled
- Snowflake
- Splice Machine
- SQL Server
- SQream
- Striim
- Synnada
- TiDB
- TimescaleDB
- Umbra
- Vitesse
- Weaviate
- Yellowbrick
- Aerospike
- AlloyDB
- Arrow
- BlazingDB
- Chaos Mesh
- CockroachDB
- CrateDB
- Datometry
- Delta Lake
- DSQL
- EraDB
- Fauna
- Firebolt
- Gaia
- GoogleSQL
- Heron
- InfluxDB
- ksqlDB
- LMDB
- Materialize
- MonetDB
- MySQL
- Noria
- Oracle
- Pinecone
- PostgresML
- QMDB
- Redshift
- Rockset
- Samza
- SLOG
- SpiceDB
- SQL Server
- Stardog
- Swarm64
- TiDB
- Tokutek
- Vertica
- Weaviate
- YugabyteDB
- AirFlow
- Anna
- Azure Cosmos DB
- Bodo
- Chroma
- Confluent
- CrocodileDB
- Datomic
- Dolt
- DuckDB
- Exon
- FeatureBase
- Fluree
- Gel
- Greenplum
- Hudi
- Jepsen
- LanceDB
- Malloy
- MemSQL
- MongoDB
- Napa
- NuoDB
- OtterTune
- Pinot
- PostgreSQL
- QuasarDB
- RelationalAI
- RonDB
- ScyllaDB
- Smooth
- Splice Machine
- SQLancer
- StarRocks
- Synnada
- TigerBeetle
- Trino
- Vitesse
- WiredTiger
- Akamas
- ApertureDB
- Berkeley DB
- Brytlyt
- Citus
- Convex
- Databricks
- dbt
- Dremio
- DVMS
- eXtremeDB
- Featureform
- Fluss
- GlareDB
- GreptimeDB
- Iceberg
- kdb
- LeanStore
- MapD
- Milvus
- Mooncake
- Neon
- OceanBase
- OxQL
- PlanetScale
- PRQL
- QuestDB
- RisingWave
- rqlite
- SingleStore
- Snowflake
- SplinterDB
- SQLite
- Striim
- Technical University of Munich
- TileDB
- Umbra
- VoltDB
- XTDB
- Alibaba
- APOLLO
- BigQuery
- Cassandra
- ClickHouse
- CouchDB
- DataFusion
- Debezium
- Druid
- EdgeDB
- FASTER
- Feldera
- FoundationDB
- Google Spanner
- HarperDB
- Impala
- Kinetica
- Litestream
- MariaDB
- Modin
- MotherDuck
- NoisePage
- OpenDAL
- ParadeDB
- Polaris
- Qdrant
- RavenDB
- RocksDB
- SalesForce
- sled
- Spice.ai
- SQL Anywhere
- SQream
- Summingbird
- TerminusDB
- TimescaleDB
- Velox
- Vortex
- Yellowbrick
Sep 22
2025
[Future Data] An Extremely Technical Overview of how the Apache Iceberg™ Planning Implementation Actually Works
- Speaker:
- Russell Spitzer
- System:
- Iceberg
- Video:
- YouTube
What are you trying to tell me? That I can read data fast? No, User. I'm trying to tell you that when you are ready, you won't have to. Everyone's heard about how fast Apache Iceberg and maybe you've even heard a few notes about "predicate pushdown" and "file metrics" but you've been left wanting more. You want to know... Read More
Sep 16
2025
Industry Affiliates Program Visit 2025 – Day 2
The second day of Carnegie Mellon University's Database Industry Affiliate Program (IAP) Visit Day, held in the Gates-Hillman Center, shifts focus to the industry side, featuring a series of informative sessions presented by member companies. These sessions offer companies the opportunity to showcase their latest innovations, products, and challenges in the database space, while also highlighting potential career opportunities for... Read More
Sep 15
2025
Industry Affiliates Program Visit 2025 – Day 1
The first day of Carnegie Mellon University's Database Industry Affiliate Program (IAP) Visit Day takes place in the Gates-Hillman Center and is focused on showcasing cutting-edge research in the field of databases. The day is filled with a series of research talks delivered by faculty and students from the university's database group. These presentations provide an in-depth look at the... Read More
May 12
2025
DBSP: Incremental Computation on Streams and Its Applications to Databases
- Speaker:
- Mihai Budiu
- System:
- Feldera
We describe DBSP, a framework for incremental computation. Incremental computations repeatedly evaluate a function on some input values that are "changing". The goal of an efficient implementation is to "reuse" previously computed results. Ideally, when presented with a new change to the input, an incremental computation should only perform work proportional to the size of the changes of the input,... Read More
Apr 23
2025
Real-world Applications of Gen AI and Databases
- Speaker:
- Sailesh Krishnamurthy
- System:
- AlloyDB
In this talk we will explore the transformative potential of integrating databases and generative AI in enterprise applications. As Large Language Models (LLMs) are being rapidly adopted, it's clear that they need to interact with a plethora of other systems in the enterprise and agentic applications have emerged as the primary integration mechanism. Of these integration targets, databases are critical,... Read More
Apr 22
2025
Architecture of Aerospike: Fast, Scalable, Geo-Replicated, Multi Model Database Supporting Strict Serializable Transactions
- Speaker:
- Srinivasan "Sesh" Seshadri
- System:
- Aerospike
Aerospike is a fast, scalable database that supports multiple data models such as a key value store with complex objects, graphs and vectors. Aerospike supports synchronous replication within a cluster to guarantee linearizability. It also supports asynchronous replication across clusters for disaster recovery with minimal overhead to normal transaction processing. Finally, Aerospike supports ACID transactions and guarantees strict serializability. In... Read More
Apr 21
2025
[SQL Death] Gel: Replacing* SQL and Improving on the Relational Database Model
- Speaker:
- Michael Sullivan
- System:
- Gel
- Video:
- YouTube
Gel (formerly EdgeDB) is a new database built around an evolution of the relational model that we call "graph-relational". In the graph-relational model, data is represented as strongly typed objects containing set-valued scalar properties and links to other objects. Missing values are represented in the language as empty sets (no NULL!), and have consistent semantics. The query language, EdgeQL, supports... Read More
Apr 14
2025
[SQL Death] MariaDB’s Query Optimizer: A Multi-tool That Does Some Things Differently
- Speaker:
- Michael Widenius
- System:
- MariaDB
- Video:
- YouTube
MariaDB's query optimizer stems from MySQL's original implementation. It didn't come from a textbook, instead, it grew organically to meet the demands of the workloads we were targeting. This talk will discuss some of the uncommon choices we've made in MariaDB's new optimizer and what we've got (and lost) as a result. This talk is part of the SQL or... Read More
Apr 7
2025
[SQL Death] OxQL: Oximeter Query Language
- Speaker:
- Ben Naecker
- System:
- OxQL
- Video:
- YouTube
Oxide Computer Company builds private cloud computers–co-designing hardware and software that works together. Our choice to own so much of the design was to enable systemic control and observability: we collect data from the smallest hardware sensor to the distributed control plane software. This talk covers the Oximeter Query Language (OxQL), the domain-specific language used to query and analyze this... Read More
Apr 1
2025
Evolving Transactions in Oracle 23ai: New Advances in Concurrency and Consistency
- Speakers:
- Kishy Kumar , Akshay S Kulkarni
- System:
- Oracle
- Video:
- YouTube
Oracle Database 23ai introduces groundbreaking enhancements that redefine transaction processing, ensuring greater concurrency, flexibility, and efficiency. This talk will explore four key features that impact database transactions: Logical Replication of JSON Relational Duality Views, Lock-Free Reservations, Sessionless Transactions, and Value-based Concurrency Control. Learn how we logically and consistently replicate data stored in JSON Relational Duality Views to heterogenous target data... Read More