- Aerospike
- Alibaba
- Anna
- APOLLO
- Azure Cosmos DB
- BigQuery
- Bodo
- Cassandra
- Chroma
- ClickHouse
- Confluent
- CouchDB
- CrocodileDB
- DataFusion
- Datomic
- Debezium
- Dremio
- DuckDB
- EdgeDB
- Exon
- FASTER
- FeatureBase
- Firebolt
- FoundationDB
- Gel
- Google Spanner
- Greenplum
- HarperDB
- Impala
- Jepsen
- Kinetica
- LanceDB
- Litestream
- Malloy
- MariaDB
- MemSQL
- Modin
- MongoDB
- Napa
- NoisePage
- NuoDB
- OpenDAL
- OtterTune
- ParadeDB
- Pinot
- 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
- WiredTiger
- YugabyteDB
- Akamas
- AlloyDB
- ApertureDB
- Arrow
- Berkeley DB
- BlazingDB
- Brytlyt
- Chaos Mesh
- Citus
- CockroachDB
- Convex
- CrateDB
- Databricks
- Datometry
- dbt
- Dolt
- Druid
- DVMS
- EraDB
- eXtremeDB
- Fauna
- Featureform
- Fluree
- Gaia
- GlareDB
- GoogleSQL
- GreptimeDB
- Heron
- InfluxDB
- kdb
- ksqlDB
- LeanStore
- LMDB
- MapD
- Materialize
- Milvus
- MonetDB
- MySQL
- Neon
- Noria
- OceanBase
- Oracle
- OxQL
- Pinecone
- PlanetScale
- 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
- Weaviate
- Yellowbrick
- Aerospike
- AlloyDB
- APOLLO
- Berkeley DB
- Bodo
- Chaos Mesh
- ClickHouse
- Convex
- CrocodileDB
- Datometry
- Debezium
- Druid
- EdgeDB
- eXtremeDB
- FeatureBase
- Fluree
- Gel
- GoogleSQL
- HarperDB
- InfluxDB
- Kinetica
- LeanStore
- Malloy
- Materialize
- Modin
- MySQL
- NoisePage
- OceanBase
- OtterTune
- Pinecone
- PostgresML
- Qdrant
- QuestDB
- RelationalAI
- Rockset
- SalesForce
- SingleStore
- Smooth
- SpiceDB
- SQL Anywhere
- SQLite
- StarRocks
- Swarm64
- TerminusDB
- TileDB
- Trino
- Vertica
- Weaviate
- YugabyteDB
- Akamas
- Anna
- Arrow
- BigQuery
- Brytlyt
- Chroma
- CockroachDB
- CouchDB
- Databricks
- Datomic
- Dolt
- DuckDB
- EraDB
- FASTER
- Featureform
- FoundationDB
- GlareDB
- Greenplum
- Heron
- Jepsen
- ksqlDB
- Litestream
- MapD
- MemSQL
- MonetDB
- Napa
- Noria
- OpenDAL
- OxQL
- Pinot
- PostgreSQL
- QMDB
- RavenDB
- RisingWave
- RonDB
- Samza
- sled
- Snowflake
- Splice Machine
- SQL Server
- SQream
- Striim
- Synnada
- TiDB
- TimescaleDB
- Umbra
- Vitesse
- WiredTiger
- Alibaba
- ApertureDB
- Azure Cosmos DB
- BlazingDB
- Cassandra
- Citus
- Confluent
- CrateDB
- DataFusion
- dbt
- Dremio
- DVMS
- Exon
- Fauna
- Firebolt
- Gaia
- Google Spanner
- GreptimeDB
- Impala
- kdb
- LanceDB
- LMDB
- MariaDB
- Milvus
- MongoDB
- Neon
- NuoDB
- Oracle
- ParadeDB
- PlanetScale
- PRQL
- QuasarDB
- Redshift
- RocksDB
- rqlite
- ScyllaDB
- SLOG
- Spice.ai
- SplinterDB
- SQLancer
- Stardog
- Summingbird
- Technical University of Munich
- TigerBeetle
- Tokutek
- Velox
- VoltDB
- Yellowbrick
- Aerospike
- Anna
- Azure Cosmos DB
- Bodo
- Chroma
- Confluent
- CrocodileDB
- Datomic
- Dremio
- EdgeDB
- FASTER
- Firebolt
- Gel
- Greenplum
- Impala
- Kinetica
- Litestream
- MariaDB
- Modin
- Napa
- NuoDB
- OtterTune
- Pinot
- PRQL
- QuestDB
- RisingWave
- rqlite
- SingleStore
- Snowflake
- SplinterDB
- SQLite
- Striim
- Technical University of Munich
- TileDB
- Umbra
- VoltDB
- YugabyteDB
- Akamas
- ApertureDB
- Berkeley DB
- Brytlyt
- Citus
- Convex
- Databricks
- dbt
- Druid
- EraDB
- Fauna
- Fluree
- GlareDB
- GreptimeDB
- InfluxDB
- ksqlDB
- LMDB
- Materialize
- MonetDB
- Neon
- OceanBase
- OxQL
- PlanetScale
- Qdrant
- RavenDB
- RocksDB
- SalesForce
- sled
- Spice.ai
- SQL Anywhere
- SQream
- Summingbird
- TerminusDB
- TimescaleDB
- Velox
- Weaviate
- Alibaba
- APOLLO
- BigQuery
- Cassandra
- ClickHouse
- CouchDB
- DataFusion
- Debezium
- DuckDB
- Exon
- FeatureBase
- FoundationDB
- Google Spanner
- HarperDB
- Jepsen
- LanceDB
- Malloy
- MemSQL
- MongoDB
- NoisePage
- OpenDAL
- ParadeDB
- PostgresML
- QMDB
- Redshift
- Rockset
- Samza
- SLOG
- SpiceDB
- SQL Server
- Stardog
- Swarm64
- TiDB
- Tokutek
- Vertica
- WiredTiger
- AlloyDB
- Arrow
- BlazingDB
- Chaos Mesh
- CockroachDB
- CrateDB
- Datometry
- Dolt
- DVMS
- eXtremeDB
- Featureform
- Gaia
- GoogleSQL
- Heron
- kdb
- LeanStore
- MapD
- Milvus
- MySQL
- Noria
- Oracle
- Pinecone
- PostgreSQL
- QuasarDB
- RelationalAI
- RonDB
- ScyllaDB
- Smooth
- Splice Machine
- SQLancer
- StarRocks
- Synnada
- TigerBeetle
- Trino
- Vitesse
- Yellowbrick
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
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
Mar 31
2025
[SQL Death] StarRocks Query Optimizer
- Speaker:
- Kaisen Kang
- System:
- StarRocks
- Video:
- YouTube
StarRocks is a C++ analytical database that handles large-scale, high-concurrency, low-latency OLAP queries. In this presentation, Kaisen Kang, Tech Lead of the StarRocks Query Team, will provide an in-depth look at the StarRocks optimizer, the key optimizations, and design choices. The talk will focus on two key areas: Key Optimizations – A deep dive into three representative optimizations: Multi-left join... Read More
Mar 24
2025
[SQL Death] PRQL: Pipelined Relational Query Language
- Speaker:
- Tobias Brandt
- System:
- PRQL
- Video:
- YouTube
The past 50 years have seen a great evolution in programming languages — except in the world of databases. There, SQL still reigns supreme; but is it a shark, enduring due to its perfection, or a dinosaur, one impact away from extinction? We argue that SQL is an amalgamation of both: relational algebra — the shark; and the language —... Read More
Mar 18
2025
Building Novel Abstractions for a Declarative Cloud (Tianyu Li)
- Speaker:
- Tianyu Li
As the cloud evolves in capability, it has also become increasingly complex and difficult to program. New abstractions are necessary to ensure next-generation cloud applications are correct, simple, and efficient. In this talk, I will first describe Resilient Composition, a new abstraction that ensures fault-tolerance in applications composed from independent, distributed components. The key insight is to rely on atomic,... Read More
Mar 17
2025
[SQL Death] Malloy: A Modern Open Source Language for Analyzing, Transforming, and Modeling Data
- Speaker:
- Lloyd Tabb
- System:
- Malloy
- Video:
- YouTube
In software we express our ideas through tools. In data, those tools think in rectangles. From spreadsheets to the data warehouses, to do any analytical calculation, you must first go through a rectangle.. Forcing data through a rectangle shapes the way we solve problems (for example, dimensional fact tables, OLAP Cubes). But really, most Data isn’t rectangular. Most data exists... Read More